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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)

Goal-Conditioned On-Policy Reinforcement Learning NeurIPS 2024 Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NeurIPS 2024 GOAT: GO to Any Thing RSS 2024 GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation NAACL 2024 Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024 GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NeurIPS 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 GoT: Effective Graph-of-Thought Reasoning in Language Models NAACL 2024 GPA: Global and Prototype Alignment for Audio-Text Retrieval Interspeech 2024 GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction EMNLP 2024 GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection? COLING 2024 GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction ACL 2024 Gradient Alignment for Cross-Domain Face Anti-Spoofing CVPR 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes NeurIPS 2024 Gradient-Guided Modality Decoupling for Missing-Modality Robustness AAAI 2024 Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024 Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024 Gradual Domain Adaptation: Theory and Algorithms JMLR 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Gradual Source Domain Expansion for Unsupervised Domain Adaptation WACV 2024 Grammar-Aligned Decoding NeurIPS 2024