Venkatesh Saligrama

BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models CVPR 2026 DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality ACL 2026 Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation EACL 2026 BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning ICCV 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025 GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching ICLR 2025 Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025 SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models CVPR 2025 Deep Companion Learning: Enhancing Generalization Through Historical Consistency ECCV 2024 Safe Linear Bandits over Unknown Polytopes COLT 2024 Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024 Efficient Edge Inference by Selective Query ICLR 2023 Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the “What” and Focus on the “How”! ACL 2023 InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion NeurIPS 2023 Learning Human Action Recognition Representations Without Real Humans NeurIPS 2023 Learning to Drive Anywhere CoRL 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 ActiveHedge: Hedge meets Active Learning ICML 2022 Condensing CNNs With Partial Differential Equations CVPR 2022 Faster Algorithms for Learning Convex Functions ICML 2022 How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022 Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data CVPR 2022 Bandit Quickest Changepoint Detection NeurIPS 2021 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021 Effectively Leveraging Attributes for Visual Similarity ICCV 2021 Federated Learning Based on Dynamic Regularization ICLR 2021 Memory Efficient Online Meta Learning ICML 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Selective Classification via One-Sided Prediction AISTATS 2021 Time Adaptive Recurrent Neural Network CVPR 2021 Training Recurrent Neural Networks via Forward Propagation Through Time ICML 2021 Budget Learning via Bracketing AISTATS 2020 Don't Even Look Once: Synthesizing Features for Zero-Shot Detection CVPR 2020 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020 Learning to Approximate a Bregman Divergence NeurIPS 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Minimax Rank-$1$ Matrix Factorization AISTATS 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Online Algorithm for Unsupervised Sequential Selection with Contextual Information NeurIPS 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations ICCV 2019 Cost aware Inference for IoT Devices AISTATS 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Generalized Zero-Shot Recognition Based on Visually Semantic Embedding CVPR 2019 Graph Resistance and Learning from Pairwise Comparisons ICML 2019 Learning Classifiers for Target Domain with Limited or No Labels ICML 2019 Online Algorithm for Unsupervised Sensor Selection AISTATS 2019 Robust Text Classifier on Test-Time Budgets EMNLP 2019 Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices NeurIPS 2019 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers ICML 2018 Adaptive Classification for Prediction Under a Budget NeurIPS 2017 Adaptive Neural Networks for Efficient Inference ICML 2017 Connected Subgraph Detection with Mirror Descent on SDPs ICML 2017 Unsupervised Sequential Sensor Acquisition AISTATS 2017 Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016 Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings NeurIPS 2016 Pruning Random Forests for Prediction on a Budget NeurIPS 2016 Zero-Shot Learning via Joint Latent Similarity Embedding CVPR 2016 A Topic Modeling Approach to Ranking AISTATS 2015 Cheap Bandits ICML 2015 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Feature-Budgeted Random Forest ICML 2015 Group Membership Prediction ICCV 2015 Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015 Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015 An LP for Sequential Learning Under Budgets AISTATS 2014 Connected Sub-graph Detection AISTATS 2014 Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Efficient Minimax Signal Detection on Graphs NeurIPS 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Locally-Linear Learning Machines (L3M) ACML 2013 Supervised Sequential Classification Under Budget Constraints AISTATS 2013 Topic Discovery through Data Dependent and Random Projections ICML 2013 Local Anomaly Detection AISTATS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Multi-Stage Classifier Design ACML 2012 Active Boosted Learning (ActBoost) AISTATS 2011 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009