Amrith Setlur
19 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(42)
π
Triple Crown
β‘
Prolific Year
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(56)
π₯
Unstoppable
(6)
π
Century Club
(19)
β
The Questioner
Conferences
NIPS (6)
ICLR (5)
ICML (5)
ACL (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Research topics
Keywords
distribution shift
(3)
differential privacy
(2)
reinforcement learning
(1)
contrastive learning
(1)
transfer learning
(1)
benchmark evaluation
(1)
feature learning
(1)
style transfer
(1)
few-shot learning
(1)
image generation
(1)
semi-supervised learning
(1)
domain adaptation
(1)
sequence labeling
(1)
feature selection
(1)
representation learning
(1)
text-to-image synthesis
(1)
kl divergence
(1)
text generation
(1)
sample complexity
(1)
unsupervised learning
(1)
Papers
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 2025
Optimizing Test-Time Compute via Meta Reinforcement Finetuning
ICML 2025
Scaling Test-Time Compute Without Verification or RL is Suboptimal
ICML 2025
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
ICLR 2025
Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models
ICML 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NIPS 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting
NIPS 2024
Deep Neural Networks Tend To Extrapolate Predictably
ICLR 2024
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
ICLR 2024
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
NIPS 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
ICLR 2023
Contextual Reliability: When Different Features Matter in Different Contexts
ICML 2023
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
NIPS 2022
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
NIPS 2021
Explaining the Efficacy of Counterfactually Augmented Data
ICLR 2021
Politeness Transfer: A Tag and Generate Approach
ACL 2020
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations
INTERSPEECH 2020
ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis
WACV 2020