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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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477
4,652
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2000
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Papers (including subtopics)

An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation EMNLP 2023 Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning WACV 2023 Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification EMNLP 2023 Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023 An Effective Deployment of Contrastive Learning in Multi-label Text Classification ACL 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 An Embarrassingly Simple Backdoor Attack on Self-supervised Learning ICCV 2023 An Embedding-Dynamic Approach to Self-Supervised Learning WACV 2023 An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract) AAAI 2023 An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval EMNLP 2023 An Empirical Investigation of the Role of Pre-training in Lifelong Learning JMLR 2023 An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling CVPR 2023 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 An Empirical Study on Active Learning for Multi-label Text Classification EACL 2023 An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations NeurIPS 2023 An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation AAAI 2023 An Equitable Framework for Automatically Assessing Children's Oral Narrative Language Abilities Interspeech 2023 An Equivalence Analysis of Binary Quantification Methods AAAI 2023 A Neural Span-Based Continual Named Entity Recognition Model AAAI 2023 A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning Interspeech 2023 A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation CVPR 2023 A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation CVPR 2023 A New Direction in Stance Detection: Target-Stance Extraction in the Wild ACL 2023