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← Authors

Chinmay Hegde

35 papers · 2007–2025 · 12 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (12)
πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) πŸ† Grand Slam πŸ† Keyword Champion 🀝 Dynamic Duo (10) 🌱 Topic Pioneer πŸ’Ž Century Club (35) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (158) πŸ”₯ Unstoppable (11)

Conferences

NIPS (12) ICML (5) ICLR (4) AAAI (3) AISTATS (3) ICCV (2) ALT (1) COLT (1) CVPR (1) IJCAI (1) JMLR (1) WACV (1)

Top co-authors

Soumik Sarkar (10) Aditya Balu (7) Baskar Ganapathysubramanian (5) Benjamin Feuer (5) Niv Cohen (5) Ameya Joshi (4) Piotr Indyk (3) Adarsh Krishnamurthy (3) Zhanhong Jiang (3) Minsu Cho (3)

Research topics

Core AI (1)

Keywords

compressive sensing (5) gradient descent (3) sparse coding (3) generative model (3) compressed sensing (3) sample complexity (3) zero-shot learning (2) signal recovery (2) leverage score sampling (2) sparse recovery (2) dictionary learning (2) distributed training (2) active learning (2) phase retrieval (2) image classification (2) federated learning (2) conditional generation (2) in-context learning (2) agnostic learning (2) decentralized learning (2)

Papers

WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training ICML 2025 LiveBench: A Challenging, Contamination-Limited LLM Benchmark ICLR 2025 Hidden in the Noise: Two-Stage Robust Watermarking for Images ICLR 2025 Leveraging Vision Language Models for Specialized Agricultural Tasks WACV 2025 SEAL: Semantic Aware Image Watermarking ICCV 2025 Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing NIPS 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NIPS 2024 Circumventing Concept Erasure Methods For Text-To-Image Generative Models ICLR 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NIPS 2024 BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity NIPS 2024 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 On The Computational Complexity of Self-Attention ALT 2023 Implicit Regularization for Group Sparsity ICLR 2023 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022 Selective Network Linearization for Efficient Private Inference ICML 2022 Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Differentiable Spline Approximations NIPS 2021 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020 Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NIPS 2019 Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers ICCV 2019 On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019 Provably Accurate Double-Sparse Coding JMLR 2019 Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018 On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017 Collaborative Deep Learning in Fixed Topology Networks NIPS 2017 Fast recovery from a union of subspaces NIPS 2016 A Nearly-Linear Time Framework for Graph-Structured Sparsity IJCAI 2016 A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015 Sparse Signal Recovery Using Markov Random Fields NIPS 2008 Random Projections for Manifold Learning NIPS 2007