Official Pytorch implementation of "What does automatic differentiation compute for neural networks?" (ICLR 2024 spotlight)

Differentiable Euler Characteristic Transform

[ICLR 2024] Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain

Official implementation of "Learning Conditional Invariances through Non-Commutativity", ICLR 2024.

This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.

This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.

[ICLR2024] LDReg: Local Dimensionality Regularized Self-Supervised Learning

Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)

Denoising Diffusion Step-aware Models (ICLR2024)

ICLR2024 statistics

[ICLR2024] International Conference on Learning Representations (2024) - Workshop on Learning from Time Series For Health (TS4H)

[ICLR 2024] [Spotlight]Code for our paper SelMix: Selective Mixup FineTuning

Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)

[ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"

Official implementation of Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models (ICLR 2024 Spotlight)

Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)

Feature-aligned N-BEATS with Sinkhorn divergence (ICLR 2024)

Official Implementation for (ICLR 2024) Idempotence and Perceptual Image Compression

[ICLR 2024] Dynamic Neural Response Tuning

Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.