Machine Learning

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning AAAI 2025 Ax: A Platform for Adaptive Experimentation AutoML 2025 AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders ICML 2025 Axiomatic Explainer Globalness via Optimal Transport AISTATS 2025 Axioms for AI Alignment from Human Feedback AAAI 2025 Axis-level Symmetry Detection with Group-Equivariant Representation ICCV 2025 AxlePro: Momentum-Accelerated Batched Training of Kernel Machines AISTATS 2025 A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering EMNLP 2025 A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding NAACL 2025 B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025 B4: A Black-Box Scrubbing Attack on LLM Watermarks NAACL 2025 BabyLM’s First Words: Word Segmentation as a Phonological Probing Task CoNLL 2025 BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context COLING 2025 Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations NAACL 2025 BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning ICCV 2025 Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models EMNLP 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025 Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025 Backdoor Attacks in Token Selection of Attention Mechanism ICML 2025 Backdoor Attacks on Neural Networks via One-Bit Flip ICCV 2025 Backdoor Defense via Enhanced Splitting and Trap Isolation ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025