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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)

EIGNN: Efficient Infinite-Depth Graph Neural Networks NeurIPS 2021 Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction EMNLP 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2021 Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ACL 2021 Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021 Embodied Visual Active Learning for Semantic Segmentation AAAI 2021 Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data AAAI 2021 Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding CVPR 2021 Emergent Communication under Varying Sizes and Connectivities NeurIPS 2021 eMLM: A New Pre-training Objective for Emotion Related Tasks ACL 2021 Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy EMNLP 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition ICLR 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation CVPR 2021 Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling AAAI 2021 Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract) AAAI 2021 EnD: Entangling and Disentangling Deep Representations for Bias Correction CVPR 2021 End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution CVPR 2021 End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs EMNLP 2021 End-to-end reconstruction meets data-driven regularization for inverse problems NeurIPS 2021 End-to-End Rich Transcription-Style Automatic Speech Recognition with Semi-Supervised Learning Interspeech 2021 End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition Interspeech 2021 End-to-End Training of Neural Retrievers for Open-Domain Question Answering ACL 2021