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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent? COLT 2026 Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design COLT 2026 IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection AAAI 2026 IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers WACV 2026 IQGS: Instance Query-based Gaussian Segmentation AAAI 2026 IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization AAAI 2026 IRPO: Implicit Policy Regularized Preference Optimization EACL 2026 ISALux: Illumination and Semantics-Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement WACV 2026 Is Bin Generation Indispensable? A Bin-Generation-Free Dataset Quantization via Semantic Perspective CVPR 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 Is He Extroverted? Identifying Missing Relevant Personas for Faithful User Simulation EACL 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026 Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise COLT 2026 IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment CVPR 2026 Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors EACL 2026 Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026 Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026 Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI 2026 Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026 ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes AAAI 2026 It’s All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models EACL 2026 ITSELF: Attention Guided Fine-Grained Alignment for Vision-Language Retrieval WACV 2026 ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking EACL 2026 Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs EACL 2026 JOCA: Task-Driven Joint Optimisation of Camera Hardware and Adaptive Camera Control Algorithms WACV 2026