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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

A theory of continuous generative flow networks ICML 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 A Theory of Unsupervised Speech Recognition ACL 2023 A Theory of Unsupervised Translation Motivated by Understanding Animal Communication NeurIPS 2023 A Thorough Examination on Zero-shot Dense Retrieval EMNLP 2023 Atlas: Few-shot Learning with Retrieval Augmented Language Models JMLR 2023 A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech Interspeech 2023 A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning UAI 2023 A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation ACL 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023 Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023 Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances WACV 2023 Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor Interspeech 2023 Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023 Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization AAAI 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation CVPR 2023 Attentive Mask CLIP ICCV 2023 AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking ACL 2023 Attributable and Scalable Opinion Summarization ACL 2023 Attribute and Structure Preserving Graph Contrastive Learning AAAI 2023 Attribute Controlled Dialogue Prompting ACL 2023 Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation WACV 2023