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Papers

Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization ICML 2025 Learning-Augmented Hierarchical Clustering ICML 2025 Learning-Augmented Search Data Structures ICLR 2025 Learning Beyond Still Frames: Scaling Vision-Language Models with Video ICCV 2025 Learning Causal Response Representations through Direct Effect Analysis UAI 2025 Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025 Learning Configurations for Data-Driven Multi-Objective Optimization ICML 2025 Learning Deep Dissipative Dynamics AAAI 2025 Learning Deployable Locomotion Control via Differentiable Simulation CoRL 2025 Learning Distances from Data with Normalizing Flows and Score Matching ICML 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning Dynamics in Continual Pre-Training for Large Language Models ICML 2025 Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability ICLR 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching ICCV 2025 Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits IJCAI 2025 Learning from weak labelers as constraints ICLR 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling ICLR 2025 Learning How Hard to Think: Input-Adaptive Allocation of LM Computation ICLR 2025 Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Learning Instance-Specific Parameters of Black-Box Models using Differentiable Surrogates WACV 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning Mixtures of Experts with EM: A Mirror Descent Perspective ICML 2025