Papers
12094 papers
ICML2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Summary pending...
ICML2023
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Summary pending...
ICML2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Summary pending...
ICML2023
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Summary pending...
ICML2023
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Summary pending...
ICML2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Summary pending...
ICML2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Summary pending...
ICML2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
Summary pending...
ICML2023
Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
Summary pending...
ICML2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach
Summary pending...
ICML2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Summary pending...
ICML2023
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
Summary pending...