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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition AAAI 2023 Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification EMNLP 2023 Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract) AAAI 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023 FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models EMNLP 2023 FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation ICCV 2023 Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023 Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging ACL 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 Frequency-aware GAN for Adversarial Manipulation Generation ICCV 2023 Frequency-Aware Self-Supervised Monocular Depth Estimation WACV 2023 Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023 Frequency Selective Augmentation for Video Representation Learning AAAI 2023 Friedrich Nietzsche at SemEval-2023 Task 4: Detection of Human Values from Text Using Machine Learning SemEval 2023 Friend-training: Learning from Models of Different but Related Tasks EACL 2023 From t-SNE to UMAP with contrastive learning ICLR 2023 From Adaptive Query Release to Machine Unlearning ICML 2023 From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023 From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping IJCAI 2023 From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models EMNLP 2023 From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification EMNLP 2023 From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models CVPR 2023 From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm CVPR 2023 From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data ICLR 2023