Machine Learning

On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 On Crowdsourcing Task Design for Discourse Relation Annotation COLING 2025 ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation CVPR 2025 On Designing the Optimal Integrated Ad Auction in E-commerce Platforms AAAI 2025 On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists ICML 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation ICCV 2025 On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CVPR 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 On Differential Privacy for Adaptively Solving Search Problems via Sketching ICML 2025 On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning ICLR 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025 On Domain-Adaptive Post-Training for Multimodal Large Language Models EMNLP 2025 One2Any: One-Reference 6D Pose Estimation for Any Object CVPR 2025 One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 OneBatchPAM: A Fast and Frugal K-Medoids Algorithm AAAI 2025 ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025 One_by_zero@DravidianLangTech 2025: Fake News Detection in Malayalam Language Leveraging Transformer-based Approach NAACL 2025 One_by_zero@ NLU of Devanagari Script Languages 2025: Target Identification for Hate Speech Leveraging Transformer-based Approach COLING 2025 One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue ACL 2025 One-dimensional Path Convolution ICML 2025 One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025 On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025 On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization ICML 2025 One for all and all for one: Efficient computation of partial Wasserstein distances on the line ICLR 2025 One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning ICLR 2025