Machine Learning

In-context Continual Learning Assisted by an External Continual Learner COLING 2025 In-Context Deep Learning via Transformer Models ICML 2025 In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval ICML 2025 In-Context Editing: Learning Knowledge from Self-Induced Distributions ICLR 2025 In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation NAACL 2025 In-Context Fine-Tuning for Time-Series Foundation Models ICML 2025 In-Context Iterative Policy Improvement for Dynamic Manipulation CoRL 2025 In-Context Learning and Occam’s Razor ICML 2025 In-Context Learning (and Unlearning) of Length Biases NAACL 2025 In-Context Learning as Conditioned Associative Memory Retrieval ICML 2025 In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties EMNLP 2025 In-context Learning Demonstration Generation with Text Distillation IJCAI 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025 In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025 In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention ICML 2025 In-Context Meta LoRA Generation IJCAI 2025 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025 In-Context Reinforcement Learning From Suboptimal Historical Data ICML 2025 In-context Time Series Predictor ICLR 2025 Incorporating Arbitrary Matrix Group Equivariance into KANs ICML 2025 Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models CVPR 2025 Incorporating Domain Knowledge into Materials Tokenization ACL 2025 Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction IJCAI 2025