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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)

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency ICML 2023 “Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity ACL 2023 GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023 GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding EMNLP 2023 Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models ACL 2023 GeneCIS: A Benchmark for General Conditional Image Similarity CVPR 2023 Generalist: Decoupling Natural and Robust Generalization CVPR 2023 Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations NeurIPS 2023 Generalizable Local Feature Pre-Training for Deformable Shape Analysis CVPR 2023 Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations Interspeech 2023 Generalization Analysis for Contrastive Representation Learning ICML 2023 Generalization Bounds for Adversarial Contrastive Learning JMLR 2023 Generalization Bounds for Adversarial Metric Learning IJCAI 2023 Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023 Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption IJCAI 2023 Generalization through Diversity: Improving Unsupervised Environment Design IJCAI 2023 Generalized Belief Transport NeurIPS 2023 Generalized Category Discovery with Decoupled Prototypical Network AAAI 2023 Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data AAAI 2023 Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning IJCAI 2023 Generalized Information-theoretic Multi-view Clustering NeurIPS 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning AAAI 2023 Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation NeurIPS 2023 Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023