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BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart NeurIPS 2025 Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025 Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection ICML 2025 Full Swap Regret and Discretized Calibration ALT 2025 Hyperband-based Bayesian Optimization for Black-box Prompt Selection ICML 2025 iN2V: Bringing Transductive Node Embeddings to Inductive Graphs ICML 2025 Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data ICLR 2025 Neural Encoding and Decoding at Scale ICML 2025 On the Similarities of Embeddings in Contrastive Learning ICML 2025 Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data ICML 2025 SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration ICML 2025 The Case for Learned Provenance-based System Behavior Baseline ICML 2025 The Double-Ellipsoid Geometry of CLIP ICML 2025 TLLC: Transfer Learning-based Label Completion for Crowdsourcing ICML 2025 Towards flexible perception with visual memory ICML 2025 Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation ICML 2024 Distinguishing the Knowable from the Unknowable with Language Models ICML 2024 Dynamic Metric Embedding into lp Space ICML 2024 EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning ICML 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation ECCV 2024 Generalizing Orthogonalization for Models with Non-Linearities ICML 2024 Indirectly Parameterized Concrete Autoencoders ICML 2024