Official Pytorch implementation of "What does automatic differentiation compute for neural networks?" (ICLR 2024 spotlight)
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Updated
May 3, 2024 - Python
Official Pytorch implementation of "What does automatic differentiation compute for neural networks?" (ICLR 2024 spotlight)
This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.
Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations", ICLR 2024
[ICLR 2024] Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
Differentiable Euler Characteristic Transform
Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)
Denoising Diffusion Step-aware Models (ICLR2024)
[ICLR2024] International Conference on Learning Representations (2024) - Workshop on Learning from Time Series For Health (TS4H)
Official implementation of Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models (ICLR 2024 Spotlight)
[ICLR 2024] [Spotlight]Code for our paper SelMix: Selective Mixup FineTuning
Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.
ICLR 2024 论文和开源项目合集
Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.
Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)
Feature-aligned N-BEATS with Sinkhorn divergence (ICLR 2024)
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
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