SALMONN family: A suite of advanced multi-modal LLMs
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML'24, NeurIPS'24, CVPR'24, J. Stat. Mech'25.
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
[ICML 2024] See More Details: Efficient Image Super-Resolution by Experts Mining
JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
Python library for multiparameter persistence
[ICML 2024] Language Models Represent Beliefs of Self and Others
Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"
🔥OSN in PyTorch (ICML 2024)
The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
[ICML 2024] Code repository for "TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression". We address the problem of sub-optimal covariance estimation in deep heteroscedastic regression by proposing a new model and metric.
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