All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
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Updated
Jun 16, 2024
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
Repository for "See More Details: Efficient Image Super-Resolution by Experts Mining", ICML 2024
[ICML 2024] Language Models Represent Beliefs of Self and Others
[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Multiparameter Persistence for Machine Learning
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"
Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (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.
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Code for the ICML 2024 paper "Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?"
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