generalization

Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning ICML 2024 Repeat After Me: Transformers are Better than State Space Models at Copying ICML 2024 Rethinking the Flat Minima Searching in Federated Learning ICML 2024 Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation CoRL 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction ICML 2024 Sharpness-Aware Data Generation for Zero-shot Quantization ICML 2024 Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks ICML 2024 Sparse-to-dense Multimodal Image Registration via Multi-Task Learning ICML 2024 SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters ICML 2024 Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration CoRL 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 Think Before You Act: Decision Transformers with Working Memory ICML 2024 ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter CoRL 2024 Towards Modular LLMs by Building and Reusing a Library of LoRAs ICML 2024 Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation ICML 2024 Twisting Lids Off with Two Hands CoRL 2024 Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains MIDL 2024 Weisfeiler-Leman at the margin: When more expressivity matters ICML 2024 What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks ICML 2024 Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning AAAI 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss ICLR 2021 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012