model generalization

Do VSR Models Generalize Beyond LRS3? WACV 2024 Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024 From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024 Frustratingly Easy Test-Time Adaptation of Vision-Language Models NeurIPS 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Improving Generalization via Meta-Learning on Hard Samples CVPR 2024 Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024 MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024 MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL 2024 Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain ICLR 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition Interspeech 2024 Soft ascent-descent as a stable and flexible alternative to flooding NeurIPS 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024