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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
'10
'15
'20
'25

Papers (including subtopics)

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis Interspeech 2022 Expanding Low-Density Latent Regions for Open-Set Object Detection CVPR 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Experiencer-Specific Emotion and Appraisal Prediction EMNLP 2022 ExpertPLM: Pre-training Expert Representation for Expert Finding EMNLP 2022 Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning EMNLP 2022 Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention CVPR 2022 Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes NeurIPS 2022 Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL 2022 Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NeurIPS 2022 Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning AAAI 2022 Exploiting Global and Local Hierarchies for Hierarchical Text Classification EMNLP 2022 Exploiting In-Domain Bilingual Corpora for Zero-Shot Transfer Learning in NLU of Intra-Sentential Code-Switching Chatbot Interactions EMNLP 2022 Exploiting Invariance in Training Deep Neural Networks AAAI 2022 Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes AAAI 2022 Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation CVPR 2022 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups ICML 2022 Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection NeurIPS 2022 Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding AAAI 2022 Explore Unsupervised Structures in Pretrained Models for Relation Extraction EMNLP 2022 Exploring and Adapting Chinese GPT to Pinyin Input Method ACL 2022 Exploring Dual Encoder Architectures for Question Answering EMNLP 2022 Exploring Dual-Task Correlation for Pose Guided Person Image Generation CVPR 2022 Exploring Effective Data for Surrogate Training Towards Black-Box Attack CVPR 2022 Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract) AAAI 2022