conftrace_

generalization ability

82 papers

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Co-occurring keywords

neural network (6616) neural network optimization (1293) domain generalization (1522) reinforcement learning (4352) large language model (13587) transfer learning (5449) representation learning (6206) model generalization (190) graph neural network (3962) loss landscape (149)

Papers

Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026
Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025
Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization EMNLP 2025
Toward Robust Non-Transferable Learning: A Survey and Benchmark IJCAI 2025
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration ICCV 2025
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models CVPR 2025
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs AAAI 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024
Sequence Reducible Holdout Loss for Language Model Pretraining COLING 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models NIPS 2024
Large Language Models Are Not Strong Abstract Reasoners IJCAI 2024
Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024
Rethinking Inductive Biases for Surface Normal Estimation CVPR 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection NIPS 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models NAACL 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024
Enhancing Chess Reinforcement Learning with Graph Representation NIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NIPS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024
Masked Image Training for Generalizable Deep Image Denoising CVPR 2023