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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 variance-regularized risk minimization with concomitant scaling AISTATS 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024 Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data AAAI 2024 ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling IJCAI 2024 RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples ICML 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts NeurIPS 2024 RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models EACL 2024 Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles EMNLP 2024 Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models NAACL 2024 Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning AAAI 2024 Rotation-Agnostic Image Representation Learning for Digital Pathology CVPR 2024 Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-Based Gaze Estimation WACV 2024 Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification ICLR 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models NeurIPS 2024 RPSC: Robust Pseudo-Labeling for Semantic Clustering AAAI 2024 RRL: Recommendation Reverse Learning AAAI 2024 RRNorm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction ACL 2024 RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024 RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework EMNLP 2024 RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions NeurIPS 2024 RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024 R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces NAACL 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024