Machine Learning

Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals ICML 2025 Learning to Inference Adaptively for Multimodal Large Language Models ICCV 2025 Learning to Insert [PAUSE] Tokens for Better Reasoning ACL 2025 Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025 Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Manipulate Under Limited Information AAAI 2025 Learning to Match Unpaired Data with Minimum Entropy Coupling ICML 2025 Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry CVPR 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge ICML 2025 Learning to Quantize for Training Vector-Quantized Networks ICML 2025 Learning to Reason from Feedback at Test-Time ACL 2025 Learning to Reason via Self-Iterative Process Feedback for Small Language Models COLING 2025 Learning to Refuse: Towards Mitigating Privacy Risks in LLMs COLING 2025 Learning to Reuse Policies in State Evolvable Environments ICML 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Learning to Rewrite: Generalized LLM-Generated Text Detection ACL 2025 Learning to Rewrite Negation Queries in Product Search COLING 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Learning to Sample in Stochastic Optimization UAI 2025 Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Learning to Search from Demonstration Sequences ICLR 2025