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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents AAAI 2025 Robust Representation Consistency Model via Contrastive Denoising ICLR 2025 Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025 Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels AAAI 2025 Robust System Identification: Finite-sample Guarantees and Connection to Regularization ICLR 2025 Robust Table Information Extraction from Sustainability Reports: A Time-Aware Hybrid Two-Step Approach ACL 2025 Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior ICCV 2025 RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations ICML 2025 RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025 RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation ICCV 2025 RoCS-MT v2 at WMT 2025: Robust Challenge Set for Machine Translation EMNLP 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models EMNLP 2025 RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images CVPR 2025 Role-Guided Annotation and Prototype-Aligned Representation Learning for Historical Literature Sentiment Classification EMNLP 2025 Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context ACL 2025 ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence CVPR 2025 Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder Framework COLING 2025 RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation CVPR 2025 RORem: Training a Robust Object Remover with Human-in-the-Loop CVPR 2025 ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025 Rotation-Equivariant Self-Supervised Method in Image Denoising CVPR 2025 ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 RoToR: Towards More Reliable Responses for Order-Invariant Inputs ACL 2025 RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs NAACL 2025