Machine Learning

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning the Pareto Front Using Bootstrapped Observation Samples AISTATS 2025 Learning the Power of "No": Foundation Models with Negations WACV 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025 Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes ICML 2025 Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025 Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health MLHC 2025 Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training ICLR 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning to Count from Pseudo-Labeled Segmentation WACV 2025 Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning EMNLP 2025 Learning to Discover Regulatory Elements for Gene Expression Prediction ICLR 2025 Learning to Discretize Denoising Diffusion ODEs ICLR 2025 Learning to engineer protein flexibility ICLR 2025 Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting IJCAI 2025 Learning to Filter Outlier Edges in Global SfM CVPR 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025 Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels ICLR 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Learning to Help in Multi-Class Settings ICLR 2025