Papers
12094 papers
TMLR2025
Leveraging AutoML for Sustainable Deep Learning: A Multi- Objective HPO Approach on Deep Shift Neural Networks
Summary pending...
TMLR2025
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Summary pending...
TMLR2025
Disobeying Directions: Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs
Summary pending...
TMLR2025
Evaluating explainability techniques on discrete-time graph neural networks
Summary pending...
TMLR2025
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Summary pending...
TMLR2025
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches
Summary pending...
TMLR2025
Interactive Large Language Models for Reliable Answering under Incomplete Context
Summary pending...
TMLR2025
Disentangled Embedding through Style and Mutual Information for Domain Generalization
Summary pending...
TMLR2025
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference
Summary pending...
TMLR2025
Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration
Summary pending...
TMLR2025
AttentionSmithy: A Modular Framework for Rapid Transformer Development
Summary pending...
TMLR2025
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
Summary pending...
TMLR2025
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Summary pending...
TMLR2025
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Summary pending...
TMLR2025
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
Summary pending...
TMLR2025
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Summary pending...