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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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Papers (including subtopics)

Adversarial Separation and Adaptation Network for Far-Field Speaker Verification Interspeech 2020 Adversarial Separation Network for Speaker Recognition Interspeech 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 Adversarial Sparse Transformer for Time Series Forecasting NeurIPS 2020 Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation NeurIPS 2020 Adversarial Subword Regularization for Robust Neural Machine Translation EMNLP 2020 Adversarial Text Generation via Sequence Contrast Discrimination EMNLP 2020 Adversarial Texture Optimization From RGB-D Scans CVPR 2020 Adversarial Training and Provable Defenses: Bridging the Gap ICLR 2020 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Adversarial Training for Code Retrieval with Question-Description Relevance Regularization EMNLP 2020 Adversarial Training for Commonsense Inference ACL 2020 Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020 Adversarial Weight Perturbation Helps Robust Generalization NeurIPS 2020 Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks AAAI 2020 AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NeurIPS 2020 ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents ACL 2020 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 Affective Conditioning on Hierarchical Attention Networks Applied to Depression Detection from Transcribed Clinical Interviews Interspeech 2020 Affective Event Classification with Discourse-enhanced Self-training EMNLP 2020 Affinity Graph Supervision for Visual Recognition CVPR 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Forest from the Trees: Generation through Neighborhoods AAAI 2020