conftrace_

Saurabh Garg

24 papers · 2018–2024 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5)
🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (58) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (60) 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (92) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (24) ❓ The Questioner (2) ⚑ Prolific Year (6)

Conferences

NIPS (11) ICML (5) ICLR (4) EMNLP (2) ACL (1) INTERSPEECH (1)

Papers

TiC-CLIP: Continual Training of CLIP Models ICLR 2024 Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024 DataComp-LM: In search of the next generation of training sets for language models NIPS 2024 RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold NIPS 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024 Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models ICML 2024 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets ICML 2023 Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift NIPS 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NIPS 2023 Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NIPS 2023 Downstream Datasets Make Surprisingly Good Pretraining Corpora ACL 2023 Disentangling the Mechanisms Behind Implicit Regularization in SGD ICLR 2023 Deconstructing Distributions: A Pointwise Framework of Learning ICLR 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023 Domain Adaptation under Open Set Label Shift NIPS 2022 Unsupervised Learning under Latent Label Shift NIPS 2022 Characterizing Datapoints via Second-Split Forgetting NIPS 2022 Leveraging unlabeled data to predict out-of-distribution performance ICLR 2022 Mixture Proportion Estimation and PU Learning:A Modern Approach NIPS 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021 A Unified View of Label Shift Estimation NIPS 2020 Dual Language Models for Code Switched Speech Recognition INTERSPEECH 2018 Code-switched Language Models Using Dual RNNs and Same-Source Pretraining EMNLP 2018