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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)

Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language Korean EMNLP 2023 Diversifying Spatial-Temporal Perception for Video Domain Generalization NeurIPS 2023 Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023 Diversity-Aware Coherence Loss for Improving Neural Topic Models ACL 2023 Diversity-Aware Meta Visual Prompting CVPR 2023 Diversity Enhanced Narrative Question Generation for Storybooks EMNLP 2023 Diversity-Measurable Anomaly Detection CVPR 2023 DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection ACL 2023 Divide and Adapt: Active Domain Adaptation via Customized Learning CVPR 2023 Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning CVPR 2023 Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback NeurIPS 2023 Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors ICLR 2023 DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies ACL 2023 DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning CVPR 2023 DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models ACL 2023 DLBD: A Self-Supervised Direct-Learned Binary Descriptor CVPR 2023 DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery EMNLP 2023 DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning SemEval 2023 Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023 Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023 DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023 Do “English” Named Entity Recognizers Work Well on Global Englishes? EMNLP 2023 Does Continual Learning Equally Forget All Parameters? ICML 2023 Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NeurIPS 2023 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023