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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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2000
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Papers (including subtopics)

Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 Difference-Masking: Choosing What to Mask in Continued Pretraining EMNLP 2023 Differentiable Architecture Search With Random Features CVPR 2023 Differentiable Clustering with Perturbed Spanning Forests NeurIPS 2023 Differentiable Random Partition Models NeurIPS 2023 Differentiable sorting for censored time-to-event data. NeurIPS 2023 Differentiable Tree Operations Promote Compositional Generalization ICML 2023 Differentially Private L_2-Heavy Hitters in the Sliding Window Model ICLR 2023 Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap COLT 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition WACV 2023 DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation NeurIPS 2023 Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering CoRL 2023 DiffSLU: Knowledge Distillation Based Diffusion Model for Cross-Lingual Spoken Language Understanding Interspeech 2023 DiffuDetox: A Mixed Diffusion Model for Text Detoxification ACL 2023 DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation ACL 2023 Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023 Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models CVPR 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NeurIPS 2023 Diffusion Based Representation Learning ICML 2023 Diffusion-GAN: Training GANs with Diffusion ICLR 2023 Diffusion Language Model with Query-Document Relevance for Query-Focused Summarization EMNLP 2023 Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks NeurIPS 2023