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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)

Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning CVPR 2020 Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation WACV 2020 Domain Generalization Using a Mixture of Multiple Latent Domains AAAI 2020 Domain Generalization via Entropy Regularization NeurIPS 2020 Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents EMNLP 2020 Domain-Specific Sentiment Lexicons Induced from Labeled Documents COLING 2020 Do Models of Mental Health Based on Social Media Data Generalize? EMNLP 2020 Don't Even Look Once: Synthesizing Features for Zero-Shot Detection CVPR 2020 Don’t Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation EMNLP 2020 Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020 Don’t Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings EMNLP 2020 DoQA - Accessing Domain-Specific FAQs via Conversational QA ACL 2020 DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020 Do sequence-to-sequence VAEs learn global features of sentences? EMNLP 2020 Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? EMNLP 2020 Double Adversarial Network Based Monaural Speech Enhancement for Robust Speech Recognition Interspeech 2020 Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games AAAI 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 Do We Need to Create Big Datasets to Learn a Task? EMNLP 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation ICML 2020 Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020 DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020 DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images ICML 2020