Papers
12094 papers
TMLR2025
Differentiated Aggregation to Improve Generalization in Federated Learning
Summary pending...
TMLR2025
An Empirical Study of the Accuracy-Robustness Trade-off and Training Efficiency in Robust Self-Supervised Learning
Summary pending...
TMLR2025
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models
Summary pending...
TMLR2025
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
Summary pending...
TMLR2025
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
Summary pending...
TMLR2025
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference
Summary pending...
TMLR2025
Transformers trained on proteins can learn to attend to Euclidean distance
Summary pending...
TMLR2025
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
Summary pending...
TMLR2025
Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks
Summary pending...
TMLR2025
Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
Summary pending...
TMLR2025
Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
Summary pending...
TMLR2025
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations
Summary pending...
TMLR2025
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration
Summary pending...
TMLR2025
Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
Summary pending...
TMLR2025
On diffusion posterior sampling via sequential Monte Carlo for zero-shot scaffolding of protein motifs
Summary pending...