Papers
12094 papers
TMLR2025
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
Summary pending...
TMLR2025
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Summary pending...
TMLR2025
To Be Greedy, or Not to Be – That Is the Question for Population Based Training Variants
Summary pending...
TMLR2025
MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training
Summary pending...
TMLR2025
FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization
Summary pending...
TMLR2025
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
Summary pending...
TMLR2025
Variance Dichotomy in Feature Spaces of Facial Recognition Systems is a Weak Defense against Simple Weight Manipulation Attacks
Summary pending...
TMLR2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach
Summary pending...
TMLR2025
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Summary pending...
TMLR2025
Registers in Small Vision Transformers: A Reproducibility Study of Vision Transformers Need Registers
Summary pending...
TMLR2025
Learning Equivalence Classes of Bayesian Network Structures with GFlowNet
Summary pending...
TMLR2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Summary pending...
TMLR2025
Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
Summary pending...
TMLR2025
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
Summary pending...