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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)

DDGR: Continual Learning with Deep Diffusion-based Generative Replay ICML 2023 DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration ICCV 2023 Dealing With Cross-Task Class Discrimination in Online Continual Learning CVPR 2023 DeAR: Debiasing Vision-Language Models With Additive Residuals CVPR 2023 De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection AAAI 2023 Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood ACL 2023 Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification EMNLP 2023 Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NeurIPS 2023 Debias NLU Datasets via Training-free Perturbations EMNLP 2023 Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression ICCV 2023 Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning IJCAI 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking CVPR 2023 Decoding Stumpers: Large Language Models vs. Human Problem-Solvers EMNLP 2023 DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning CVPR 2023 Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery NeurIPS 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning ICLR 2023 DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models EMNLP 2023 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 Deconstructing Distributions: A Pointwise Framework of Learning ICLR 2023 Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation AAAI 2023 DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes Interspeech 2023 Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering ICCV 2023