Machine Learning

Compute-Constrained Data Selection ICLR 2025 Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders ICML 2025 Compute-Optimal LLMs Provably Generalize Better with Scale ICLR 2025 Compute Optimal Scaling of Skills: Knowledge vs Reasoning ACL 2025 Compute or Load KV Cache? Why Not Both? ICML 2025 Computing Game Symmetries and Equilibria That Respect Them AAAI 2025 Computing High-dimensional Confidence Sets for Arbitrary Distributions COLT 2025 Computing Optimal Regularizers for Online Linear Optimization COLT 2025 Computing Quasi-Nash Equilibria via Gradient-Response Schemes L4DC 2025 COMRECGC: Global Graph Counterfactual Explainer through Common Recourse ICML 2025 CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution ICLR 2025 Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings EMNLP 2025 Concentration Distribution Learning from Label Distributions ICML 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 Concept-Based RAG Models: A High-Accuracy Fact Retrieval Approach COLING 2025 Concept-Based Unsupervised Domain Adaptation ICML 2025 ConceptCarve: Dynamic Realization of Evidence ACL 2025 Concept Forgetting via Label Annealing UAI 2025 ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset EMNLP 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning ICLR 2025 Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction NAACL 2025 Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing ICLR 2025 ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) AAAI 2025