Publications

Venues where research from AI@IISc Group have been published recently.

Publication Authors Venue
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation Jogendra Nath Kundu, Suvaansh B., Akshay K., Hiran S., Varun J., and R. Venkatesh Babu ECCV 2022
Improving GANs for Long-Tailed Data through Group Spectral Regularization Harsh Rangwani, Naman J., Tejan Karmali, Varun J., and R. Venkatesh Babu ECCV 2022
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs Tejan Karmali, Rishubh Parihar, Susmit A., Harsh Rangwani, Varun J., Maneesh Singh and R. Venkatesh Babu ECCV 2022
Completely Self-Supervised Crowd Counting via Distribution Matching Deepak B. S., Abhinav A., Jimmy J., Vishwanath S., R. Venkatesh Babu and Vishal Patel ECCV 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, and R. Venkatesh Babu ECCV 2022
Towards Efficient and Effective Self-Supervised Learning of Visual Representations Sravanti Addepalli, Kaushal Bhogale, Priyam Dey and R. Venkatesh Babu ECCV 2022
Everything is there in the Latent Space: Image Editing by Latent Space Manipulation Rishubh Parihar, Ankit Dhiman, Tejan Karmali and R. Venkatesh Babu ACMMM 2022
A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani, Sumukh Aithal, Mayank M., Arihant Jain and R. Venkatesh Babu ICML 2022
Balancing Discriminability and Transferability for Source-Free Domain Adaptation Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Deepesh M,. Shreyas K., Varun Jampani and R. Venkatesh Babu ICML 2022
Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal, Sravanti Addepalli, and R. Venkatesh Babu CVPR 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation Jogendra N Kundu, Siddharth S., Pradyumna, Varun Jampani, Anirban C. and R. Venkatesh Babu CVPR 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Varun Jampani and R. Venkatesh Babu AAAI 2022
Beyond Learning Features: Training a Fully-functional Classifier with ZERO Instance-level Labels Deepak Babu Sam, Abhinav Agarwalla and R. Venkatesh Babu AAAI 2022
Online algorithms for estimating change rates of web pages by Konstantin Avrachenkov, Kishor Patil and Gugan Thoppe Performance Evaluation, Volume 153, February 2022
Learning a Latent Simplex in Input Sparsity Time by Ainesh Bankshi, Chiranjib Bhattacharyya , Ravindran Kannan, David P. Woodruff and Samson Zhou ICLR 2021
Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study by Nabanita Paul, Siddharth Ramesh, Chiranjib Bhattacharyya , Jayashree Ramesh and Priya Vijayan ICRA 2021
Finding k in Latent k-Polytope by Chiranjib Bhattacharyya , Ravindran Kannan and Amit Kumar ICML 2021
Information-constrained optimization: can adaptive processing of gradients help? by Jayadev Acharya , Clement Canonne , Prathamesh Mayekar and Himanshu Tyagi Neurips 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints by Jayadev Acharya , Clement Canonne , Aditya Vikram Singh and Himanshu Tyagi Neurips 2021
Bandit Quickest Changepoint Detection by Braghadeesh Lakshminarayanan, Venkatesh Saligrama and Aditya Gopalan Neurips 2021
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning by Bhumesh Kumar and Gugan Thoppe Neurips 2021
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization by Arnab Maiti, Vishakha Patil and Arindam Khan Neurips 2021
Towards Efficient and Effective Adversarial Training Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj and R. Venkatesh Babu Neurips 2021
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, and R. Venkatesh Babu Neurips 2021
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Anirudh, Pradyumna YM, Varun Jampani, Anirban Chakraborty and R. Venkatesh Babu Neurips 2021
S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani, Arihant Jain, Sumukh Aithal and R. Venkatesh Babu ICCV 2021
Deep Implicit Surface Point Prediction Networks Rahul M V, Tejan Karmali, S. Sharma, A. Ghosh, Laszlo Jeni, R. Venkatesh Babu and Maneesh Singh ICCV 2021
Source-Free Domain Adaptation for Semantic Segmentation Jogendra Nath Kundu, Akshay Kulkarni, Amit Kumar Singh, Varun Jampani and R. Venkatesh Babu ICCV 2021
Class Balancing GAN with a Classifier in the Loop Harsh Rangwani, Konda Reddy and R. Venkatesh Babu UAI 2021
Rawlsian Fair Adaptation of Deep Learning Classifiers Pooja Gupta, Chiranjib Bhattacharyya, Kulin Shah and Amit Deshpande AIES 2021
Ballooning multi-armed bandits Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari Artificial Intelligence (Elsevier), 2021 (To appear)
Achieving Fairness in the Stochastic Multi-armed Bandit Problem Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari Journal of Machine Learning Research, 2021 (To appear)
Reinforcement Learning in Parametric MDPs with Exponential Families Sayak Ray Chowdhury, Aditya Gopalan and Odalric Maillard AISTATS 2021
No-regret Algorithms for Multi-task Bayesian Optimization Sayak Ray Chowdhury and Aditya Gopalan AISTATS 2021
Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting Ram Prabhakar, Gowtham Senthil, Susmit Agrawal and R. Venkatesh Babu CVPR 2021
ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame Usenix Security Symposium 2021
Learning With Subquadratic Regularization : A Primal-Dual Approach Raman Sankaran, Francis Bach and Chiranjib Bhattacharyya IJCAI 2020
Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures Chiranjib Bhattacharyya and Ravindran Kannan ICML 2020
Finding a latent k-simplex in O* (k nnz(data)) time via Subset Smoothing Chiranjib Bhattacharyya and Ravindran Kannan SODA 2020
Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs Naganand Yadati NeurIPS 2020
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation Naveen Venkat, Jogendra Nath Kundu, Durgesh K. Singh, Ambareesh Revanur, and R. Venkatesh Babu NeurIPS 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, and R. Venkatesh Babu NeurIPS 2020
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning Nishat Koti, Mahak Pancholi, Arpita Patra, and Ajith Suresh NeurIPS 2020 Workshop – PRIML/PPML’20
Appearance Consensus Driven Self-Supervised Human Mesh Recovery Jogendra Nath Kundu, Mugalodi R Rakesh, Varun Jampani, Rahul M. V. and R. Venkatesh Babu ECCV 2020
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath and R. Venkatesh Babu ECCV 2020
Unsupervised Cross-Modal Alignment For Multi-Person 3D Pose Estimation Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul M. V. and R. Venkatesh Babu ECCV 2020
Learning to Count in the Crowd from Limited Labeled Data Vishwanath S, Rajeev Yasarla, Deepak B. S., R. Venkatesh Babu and Vishal Patel ECCV 2020
Class-Incremental Domain Adaptation Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., Ambareesh Revanur and R. Venkatesh Babu ECCV 2020
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings Apoorv Saxena, Aditay Tripathi and Partha Talukdar ACL 2020
Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar and Partha Talukdar ACL 2020
A Re-evaluation of Knowledge Graph Completion Methods Zhiqing Sun*, Shikhar Vashishth*, Soumya Sanyal*, Partha Talukdar and Yiming Yang ACL 2020
Syntax-guided Controlled Generation of Paraphrases Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha Talukdar TACL 2020
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model Aadirupa Saha and Aditya Gopalan ICML 2020
Single-step Adversarial training with Dropout Scheduling Vivek B. S. and R. Venkatesh Babu CVPR 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan and R. Venkatesh Babu CVPR 2020
Self-Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis Jogendra Nath Kundu, Siddharth Seth, Varun J., Rakesh M., R. Venkatesh Babu and Anirban Chakraborty CVPR 2020
Towards Inheritable Models for Open-set Domain Adaptation Jogendra Nath Kundu, Naveen Venkat, Ambareesh R., Rahul M.V. and R. Venkatesh Babu CVPR 2020
Universal Source-Free Domain Adaptation Jogendra Nath Kundu, Naveen Venkat, Rahul M.V. and R. Venkatesh Babu CVPR 2020
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks Navaneet K.L., Ansu Mathew, Shashank K., Wei-Chih Hung, Varun J. and R. Venkatesh Babu CVPR 2020
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection Deepak Babu Sam, Skand V Peri, Mukundha N., Amogh K. and R. Venkatesh Babu IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 2020
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices Prafull Prakash, Chaitanya Murti, J. Saketha Nath and Chiranjib Bhattacharyya PRICAI 2019
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning Megha Byali, Harsh Chaudhari, Arpita Patra and Ajith Suresh PETS 2020
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar ICLR 2020
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning Harsh Chaudhari, Rahul Rachuri and Ajith Suresh NDSS 2020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning Arpita Patra and Ajith Suresh NDSS 2020
Best-item Learning in Random Utility Models with Subset Choices Aadirupa Saha, Aditya Gopalan AISTATS 2020
A Tale of Two-timescale Reinforcement Learning with the Tightest Finite-time Bound Gal Dalal, Balazs Szorenyi and Gugan Thoppe AAAI 2020
P-SIF: Document Embeddings Using Partition Averaging Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha Talukdar AAAI 2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Rahul M.V., Rakesh M., R. Venkatesh Babu and Anirban Chakraborty AAAI 2020
Translucent Answer Predictions in Multi-Hop Reading Comprehension G P Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish Shevade, Saswati Dana, Dinesh Khandelwal,; L Venkata Subramaniam, Alfio Gliozzo AAAI 2020
Achieving Fairness in the Stochastic Multi-armed Bandit Problem Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari AAAI 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan, Soumya Sanyal, Partha Talukdar AAAI 2020
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions Shikhar Vashishth*, Soumya Sanyal*, Vikram Nitin, Nilesh Agrawal, Partha Talukdar AAAI 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy AAAI 2020
DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty and R. Venkatesh Babu AAAI 2020
Sequential Mode Estimation with Oracle Queries Dhruti Shah, Tuhinangshu Chouwdhury, Nikhil Karamchandani and Aditya Gopalan AAAI 2020
On Adaptivity in Information-constrained Online Learning Siddharth Mitra and Aditya Gopalan AAAI 2020
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction Harsh Chaudhari, Ashish Choudhury, Arpita Patra and Ajith Suresh PPML 2019
Nonzero-sum adversarial hypothesis testing games Sarath Yasodharan and Patrick Loiseau NeurIPS 2019
Combinatorial Bandits with Relative Feedback Aadirupa Saha, Aditya Gopalan NeurIPS 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury, Aditya Gopalan NeurIPS 2019
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha Talukdar NeurIPS 2019
Infra-slow brain dynamics as a marker for cognitive function and decline Shagun Ajmera, Shreya Rajagopal, Razi Rehman, Devarajan Sridharan NeurIPS 2019
Neural Attribution for Semantic Bug-Localization in Student Programs Rahul Gupta, Aditya Kanade, Shirish Shevade NeurIPS 2019
CaRe: Open Knowledge Graph Embeddings Swapnil Gupta, Sreyash Kenkre, Partha Talukdar EMNLP 2019
UM-Adapt: Unsupervised Multi-task Adaptation using Adversarial Cross-task Distillation Jogendra Nath Kundu, Nishank L., R. Venkatesh Babu ICCV 2019
FDA: Feature Disruptive Adversarial Attack Aditya G., Vivek B.S., R. Venkatesh Babu ICCV 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-modal Data Distributions Jogendra Nath Kundu, Maharshi G., Dakshit A., R. Venkatesh Babu ICCV 2019
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar ACL 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain Sharmistha Jat, Hao Tang, Partha Talukdar, Tom M. Mitchell ACL 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar ACL 2019
Word2Sense: Sparse Interpretable Word Embeddings Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya ACL 2019
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya UAI 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty ICML 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi, D. Sai Koti Reddy, Prabuchandran K. J., Shalabh Bhatnagar AAMAS 2019
Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury, Aditya Gopalan AISTATS 2019
Active Ranking with Subset-wise Preferences Aadirupa Saha, Aditya Gopalan AISTATS 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha Talukdar: AISTATS 2019
Lovasz Convolutional Networkshttp
 Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Talukdar AISTATS 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha Talukdar NAACL-HLT 2019
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification
 Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty ICASSP 2019
Deep Variational Filter Learning Models for Speech Recognition
 Purvi Agrawal, Sriram Ganapathy ICASSP 2019
The Leap Speaker Recognition System for NIST SRE 2018 Challenge
 Shreyas Ramoji, Anand Mohan, Bhargavram Mysore, Anmol Bhatia, Prachi Singh, Harsha Vardhan, Sriram Ganapathy ICASSP 2019
End-to-end Language Recognition Using Attention Based Hierarchical Gated Recurrent Unit Models
 Bharat Padi, Anand Mohan, Sriram Ganapathy ICASSP 2019
A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy ICASSP 2019
When Can a System of Subnetworks Be Registered Uniquely? Aditya V. Singh, Kunal N. Chaudhury ICASSP 2019
SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging
 Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula ICASSP 2019
Automatic Segmentation of Optic Disc Using Affine Snakes in Gradient Vector Field
 Sidhartha Dey, Kapil Tahiliani, J. R. Harish Kumar, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula ICASSP 2019
Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs
 J. R. Harish Kumar, Kartik Teotia, P. Kevin Raj, Jasbon Andrade, K. V. Rajagopal, Chandra Sekhar Seelamantula ICASSP 2019
A Learning Approach for Wavelet Design
 Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula ICASSP 2019
FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems
 Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula ICASSP 2019
FRI Modelling of Fourier Descriptors
 Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula ICASSP 2019
A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals
 Jitendra Kumar Dhiman, Chandra Sekhar Seelamantula ICASSP 2019
Analyzing Human Reaction Time for Talker Change Detection
 Neeraj Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L. Holt ICASSP 2019
KVQA: Knowledge-Aware Visual Question Answering Sanket Shah, Anand Mishra, Naganand Yadati, Partha Talukdar AAAI 2019
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan AAAI 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu AAAI 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu AAAI 2019
Almost Unsupervised Learning for Dense Crowd Counting Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu AAAI 2019
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs Rahul Gupta, Aditya Kanade, Shirish K. Shevade AAAI 2019
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya AAAI 2019
Fair Division with a Secretive Agent Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi AAAI 2019
On the Proximity of Markets with Integral Equilibria Siddharth Barman, Sanath Kumar Krishnamurthy AAAI 2019
Outlier Aware Network Embedding for Attributed Networks Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty AAAI 2019
Minimum Intervention Cover of a Causal Graph Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar AAAI 2019
A Generative Model for Dynamic Networks with Applications Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati AAAI 2019
PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy Biomedical Optics Express, 2019
CNN Fixations: An unraveling approach to visualize the discriminative image regions Mopuri Reddy, Utsav Garg and R. Venkatesh Babu IEEE Transactions on Image Processing (TIP), 2019
Pictionary-style word-guessing on hand-drawn object sketches: dataset, analysis and deep network models Ravi Kiran S., Shiv Surya, Trisha M. and R. Venkatesh Babu IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Mopuri Reddy, Aditya Ganeshan and R. Venkatesh Babu IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
Learning and Testing Causal Models with Interventions Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy NeurIPS 2018
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar EMNLP 2018
AD3: Attentive Deep Document Dater Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar EMNLP 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar EMNLP 2018
Hardness of Learning Noisy Halfspaces using Polynomial Thresholds Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket COLT 2018
Fair Division Under Cardinality Constraints
 Arpita Biswas, Siddharth Barman IJCAI 2018
Dating Documents using Graph Convolution Networks Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar ACL 2018
Towards Understanding the Geometry of Knowledge Graph Embeddings Chandrahas, Aditya Sharma, Partha Talukdar ACL 2018
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation Madhav Nimishakavi, Manish Gupta, Partha Talukdar ACL 2018
Testing Sparsity over Known and Unknown Bases Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal ICML 2018
Using Inherent Structures to design Lean 2-layer RBMs Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya ICML 2018
Preserving Semantic Relations for Zero-Shot Learning
 Yashas Annadani, Soma Biswas CVPR 2018
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati NAACL-HLT 2018
ELDEN: Improved Entity Linking using Densified Knowledge Graphs Priya Radhakrishnan, Partha Talukdar, Vasudeva Varma NAACL-HLT 2018
Design of Coalition Resistant Credit Score Functions for Online Discussion Forums Ganesh Ghalme, Sujit Gujar, Amleshwar Kumar, Shweta Jain, Y. Narahari AAMAS 2018
Greedy Algorithms for Maximizing Nash Social Welfare Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish AAMAS 2018
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach Achintya Kundu, Francis Bach, Chiranjib Bhattacharyya AISTATS 2018
Phasesplit: A Variable Splitting Framework for Phase Retrieval Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula ICASSP 2018
Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings N. Sajjan, S. Ganesh, N. Sharma, S. Ganapathy, N. Ryant ICASSP 2018
Wavelet-Based Reconstruction for Unlimited Sampling
 Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula ICASSP 2018
3-D CNN Models for Far-Field Multi-Channel Speech Recognition S. Ganapathy, V. Peddinti ICASSP 2018
NAG: Network for Adversary Generation M. Reddy, Utkarsh Ohja, Utsav Garg, R. Venkatesh Babu CVPR 2018
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan CVPR 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu CVPR 2018
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information Shikhar Vashishth, Prince Jain, Partha Talukdar WWW 2018
Groupwise Maximin Fair Allocation of Indivisible Goods Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari AAAI 2018
Overlap-Robust Decision Boundary Learning for Within-Network Classification Sharad Nandanwar, M. Narasimha Murty AAAI 2018
Top-Down Feedback for Crowd Counting Convolutional Neural Network Deepak Babu Sam, R. Venkatesh Babu AAAI 2018
Game of Sketches: A Deep Neural Model of Word Guessing for Pictionary Ravi Kiran S, Shiv Surya, Trisha, R. Venkatesh Babu AAAI 2018
Online Learning for Structured Loss Spaces Siddharth Barman, Aditya Gopalan, Aadirupa Saha AAAI 2018

2017

  • Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, and Y. Narahari.
    A quality-assuring, cost-optimal, multi-armed bandit mechanism for expertsourcing.
    Artificial Intelligence, Elsevier, Volume 254, 2018, pp. 44-63.
  • Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty:
    Fusing Diversity in Recommendations in Heterogeneous Information Networks.
    WSDM 2018: 414-422
  • Guilherme Cox, Zi Yan, Abhishek Bhattacharjee and Vinod Ganapathy,
    Secure, Consistent, and High-Performance Memory Snapshotting
    Proceedings of CODASPY’18, the 8th ACM Conference on Data and Application Security and Privacy Tempe, Arizona, USA, March 2018.
  • A. Chatterjee and V. M. Govindu,
    Robust Relative Rotation Averaging,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 958-972, April 1 2018. doi: 10.1109/TPAMI.2017.2693984
  • Sharon, G., M. Albert, T. Rambha, S. D. Boyles, and P. Stone.
    Traffic Optimization for a Mixture of Self-interested and Compliant Agents.
    In the Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA.
  • Gupta, Rahul, Aditya Kanade, and Shirish Shevade.
    Deep Reinforcement Learning for Programming Language Correction.
    arXiv preprint arXiv:1801.10467 (2017).
  • P M Nazreen, A G Ramakrishnan, Prasanta Kumar Ghos
    A Joint Enhancement-Decoding Formulation for Noise Robust Phoneme Recognition
    Proc. 14th IEEE India Council International Conference (INDICON 2017), IIT Roorkee, Dec. 15-17, 2017
  • Sahil Bansal, Anindita Ghosh, Chandra Sekhar Seelamantula, Gurunath Gurrala, and Prasanta Kumar Ghosh
    “Adaptive Frequency Estimation Approach Using Iterative DESA with RDFT-Based Filter”,
    APPEEC 2017
  • Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
    Aditya Sharma, Zarana Parekh, Partha Talukdar
    EMNLP 2017
  • KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs (EMNLP 2017)
    Prakhar Ojha, Partha Talukdar
  • Rahul Gupta, Soham Pal, Aditya Kanade and Shirish Shevade,
    DeepFix: Fixing Common C Language Errors by Deep Learning.
    Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.
  • Pankajakshan, Praveen, Sanyal, Suchismita, de Noord, Onno E., Bhattacharya, Indranil, Bhattacharyya, Arnab & Waghmare, Umesh,
    Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights.
    Chemistry of Materials, 29, 4190-4201 (2017).
  • Acharya, Jayadev, Arnab Bhattacharyya, and Pritish Kamath.
    Improved bounds for universal one-bit compressive sensing.
    Information Theory (ISIT), 2017 IEEE International Symposium on. IEEE, 2017.
  • Bhattacharyya, Arnab, Palash Dey, and David P. Woodruff.
    An optimal algorithm for l1-heavy hitters in insertion streams and related problems.
    Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. ACM, 2016.
  • K. N. Chaudhury and S. Dabhade,
    Fast and provably accurate bilateral filtering,
    vol. 25, no. 6, pp. 2519-2528, IEEE Transactions on Image Processing, 2016.
  • R. Sanyal, M. Jaiswal, and K. N. Chaudhury,
    On a registration-based approach to sensor network localization,
    Transactions on Signal Processing, vol. 65, no. 20, pp. 5357-5367, 2017.
  • S. Dabhade, G. Rathna, and K. N. Chaudhury,
    A reconfigurable and scalable FPGA architecture for bilateral filtering,
    IEEE Transactions on Industrial Electronics, vol. 65, no. 2, pp. 1459-1469, 2017.
  • R. Sanyal, Sk. Ahmed, M. Jaiswal, and K. N. Chaudhury,
    A scalable ADMM algorithm for rigid registration,
    IEEE Signal Processing Letters, vol. 24, no. 10, pp. 1453-1457, 2017.
  • Hai Nguyen and Vinod Ganapathy,
    EnGarde: Mutually-Trusted Inspection of SGX Enclaves
    Proceedings of ICDCS’17, the 37th International Conference on Distributed Computing Systems Atlanta, Georgia, USA, June 2017.
  • Sayak Ray Chowdhury and Aditya Gopalan,
    On Kernelized Multi-armed Bandits.
    Proc. International Conference on Machine Learning (ICML), 2017.
  • U, Bhattacharya, S. Veerawal, V. M. Govindu,
    Fast Multiview 3D Scan Registration using Planar Structures,
    In International Conference on 3D Vision 2017, 2017.
  • S. M. Haque and V. M. Govindu,
    Multi-view Non-rigid Refinement and Normal Selection for High Quality 3D Reconstruction,
    2017 IEEE International Conference on Computer Vision (ICCV), Venice, 2017, pp. 2401-2409. doi: 10.1109/ICCV.2017.261
  • Rambha, T., S. D. Boyles, A. Unnikrishnan, and P. Stone
    Marginal cost pricing for system optimal traffic assignment with recourse under supply-side uncertainty.
    Rev. Transp. Res. Part B: Methodol (2017).
  • Sharon, G., M. W. Levin, J. P. Hanna, T. Rambha, S. D. Boyles, and P. Stone
    Network-wide adaptive tolling for connected and automated vehicles.
    Transportation Research Part C: Emerging Technologies 84 (2017): 142-157.
  • Rambha, Tarun, Stephen D. Boyles, and S. Travis Waller.
    Adaptive transit routing in stochastic time-dependent networks.
    Transportation Science 50.3 (2016): 1043-1059.
  • Rahul Gupta and Soham Pal and Aditya Kanade and Shirish K. Shevade.
    DeepFix: Fixing Common C Language Errors by Deep Learning.
    AAAI. 2017.

2016

  • Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar
    Relation Schema Induction using Tensor Factorization with Side Information     [Source] (EMNLP)
  • Shweta Jain, Satyanath Bhat, Ganesh Ghalme, Divya Padmanabhan, Y. Narahari
    Mechanism Design for Stochastic Multi-armed bandit Problems.
    Indian Journal of Pure and Applied Mathematics. Volume 47, Number 2, 2016, pp. 229-272.
  • Sharad Nandanwar, M. Narasimha Murty:
    Structural Neighborhood Based Classification of Nodes in a Network.
    KDD 2016: 1085-1094
  • N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
    Detecting outliers in categorical data through rough clustering.
    Natural Computing 15(3): 385-394 (2016).
  • Sambaran Bandyopadhyay, M. Narasimha Murty:
    Axioms to characterize efficient incremental clustering.
    ICPR 2016: 450-455.
  • Daeyoung Kim, Christopher Liebchen, Vinod Ganapathy, Liviu Iftode, and Ahmad-Reza Sadeghi,
    Regulating ARM TrustZone Devices in Restricted Spaces Ferdinand Brasser
    Proceedings of MobiSys’16, the 14th ACM International Conference on Mobile Systems, Applications, and Services Singapore, June 2016.
  • Shivaram Kalyanakrishnan, Neeldhara Misra and Aditya Gopalan,
    Randomised Procedures for Initialising and Switching Actions in Policy Iteration.
    Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix (USA), 2016.
  • Rambha, Tarun, and Stephen D. Boyles.
    Dynamic pricing in discrete time stochastic day-to-day route choice models.
    Transportation Research Part B: Methodological 92 (2016): 104-118.
  • Shalini Kaleeswaran and Anirudh Santhiar and Aditya Kanade and Sumit Gulwani.
    Semi-supervised verified feedback generation.
    Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering. ACM, 2016.

2015

  • Bhattacharyya, Arnab, and Kirankumar Shiragur.
    How friends and non-determinism affect opinion dynamics.
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on. IEEE, 2015.
  • Dey, Palash, and Arnab Bhattacharyya.
    Sample complexity for winner prediction in elections.
    Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2015.
  • K. N. Chaudhury, Y. Khoo and A. Singer,
    Global registration of multiple point clouds using semidefinite programming,
    SIAM Journal on Optimization, vol. 28, no. 1, pp. 468- 501, 2015.
  • Nine papers by Ai@IISc members in ICML and COLT 2015:
      • Surrogate Functions for Maximizing Precision at the Top. (ICML)
        Purushottam Kar, Harikrishna Narasimhan and Prateek Jain.
      • Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. (ICML)
        Harikrishna Narasimhan, Purushottam Kar and Prateek Jain.
      • Ranking from stochastic pairwise preferences: Recovering Condorcet winners and tournament solution sets at the top.(ICML)
        Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim and Shivani Agarwal.
      • On the consistency of hierarchical classification algorithms. (ICML)
        Harish G. Ramaswamy, Ambuj Tewari and Shivani Agarwal.
      • Thompson Sampling for Learning Parameterized Markov Decision Processes. (COLT)
        Aditya Gopalan and Shie Mannor.
  • Three papers by MLSIG members in IJCAI 2015:
      • EntScene: Nonparametric Bayesian Temporal Segmentation of Videos aimed at Entity-driven Scene Detection.
        Adway Mitra, Chiranjib Bhattacharyya and Soma Biswas
      • AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.
        Mehdi Samadi, Partha Pratim Talukdar, Manuela Veloso and Tom Mitchell.

2014

  • Shalini Kaleeswaran and Varun Tulsian and Aditya Kanade and Alessandro Orso.
    Minthint: Automated synthesis of repair hints.
    Proceedings of the 36th International Conference on Software Engineering. ACM, 2014.
  • Varun Tulsian and Aditya Kanade and Rahul Kumar and Akash Lal and Aditya V. Nori.
    Mux: algorithm selection for software model checkers.
    Proceedings of the 11th Working Conference on Mining Software Repositories. ACM, 2014.
  • Aditya Gopalan, Shie Mannor, and Yishay Mansour,
    Thompson Sampling for Complex Online Problems.
    Proc. International Conference on Machine Learning (ICML), Beijing, June 2014.
  • Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan,
    A provable SVD-based algorithm for learning topics in dominant admixture corpus
    NIPS 2014

2013

  • V. Jethava, A. Martinsson, C. Bhattacharyya and D. Dubhashi,
    Lovasz ϑ function, SVMs, and finding Dense subgraphs
    Journal of Machine Learning research, pages 3495 3536, 2013.

2011

  • Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu,
    Exploiting Coherence for the simultaneous discovery of latent facets and associated sentiments.
    SDM 2011 (Best paper award)

2010

  • Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. Gopinath,Thirumale Niranjan, Sai Susarla
    Discovery of Application Workloads from Network File Traces
    Conference on File and Storage Technologies(FAST) , 2010.
  • A. Ben-Tal, S. Bhadra, C. Bhattacharyya and J. Saketha Nath.
    Chance Constrained Uncertain Classification via Robust Optimization.
    Mathematical Programming Series B special issue on Machine Learning , 2010.