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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

38
179
3,018
5,737
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'15
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Papers (including subtopics)

What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian ACL 2019 What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition EMNLP 2019 What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL 2019 When and Why is Document-level Context Useful in Neural Machine Translation? EMNLP 2019 When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images CVPR 2019 When does label smoothing help? NeurIPS 2019 When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish EMNLP 2019 Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection CVPR 2019 Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes CVPR 2019 Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations EMNLP 2019 Who wrote this book? A challenge for e-commerce EMNLP 2019 Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition NeurIPS 2019 Word2Sense: Sparse Interpretable Word Embeddings ACL 2019 Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors ACL 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors AAAI 2019 Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers EMNLP 2019 World From Blur CVPR 2019 WriterForcing: Generating more interesting story endings ACL 2019 Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings EMNLP 2019 WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks AAAI 2019 WSLLN:Weakly Supervised Natural Language Localization Networks EMNLP 2019 XQA: A Cross-lingual Open-domain Question Answering Dataset ACL 2019 Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences AAAI 2019 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NeurIPS 2019