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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)

Contrastive Sampling Chains in Diffusion Models NeurIPS 2023 Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023 Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank CVPR 2023 Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation ACL 2023 Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents ACL 2023 Contrastive Training of Complex-Valued Autoencoders for Object Discovery NeurIPS 2023 Contrastive Value Learning: Implicit Models for Simple Offline RL CoRL 2023 ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds IJCAI 2023 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023 Controllability-Aware Unsupervised Skill Discovery ICML 2023 Controllable Mixed-Initiative Dialogue Generation through Prompting ACL 2023 Controlled Data Augmentation for Training Task-Oriented Dialog Systems with Low Resource Data EMNLP 2023 Controlled Text Generation with Hidden Representation Transformations ACL 2023 Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023 Controlling Styles in Neural Machine Translation with Activation Prompt ACL 2023 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023 Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts EACL 2023 Convex Reinforcement Learning in Finite Trials JMLR 2023 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 Convolutional Visual Prompt for Robust Visual Perception NeurIPS 2023 Convolution Monge Mapping Normalization for learning on sleep data NeurIPS 2023 COnVoy: A Contact Center Operated Pipeline for Voice of Customer Discovery Interspeech 2023 ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering ACL 2023 ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing CVPR 2023 COOM: A Game Benchmark for Continual Reinforcement Learning NeurIPS 2023