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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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'25

Papers (including subtopics)

Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization ACL 2018 RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition ACL 2018 Revisiting (ε, γ, τ)-similarity learning for domain adaptation NeurIPS 2018 Revisiting Deep Intrinsic Image Decompositions CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation CVPR 2018 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NeurIPS 2018 Revisiting neural relation classification in clinical notes with external information EMNLP 2018 Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects CVPR 2018 Revisiting the Importance of Encoding Logic Rules in Sentiment Classification EMNLP 2018 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018 RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs ACML 2018 Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018 ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes CVPR 2018 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NeurIPS 2018 Robust Classification With Convolutional Prototype Learning CVPR 2018 Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks NeurIPS 2018 Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning ACL 2018 Robust Multilingual Part-of-Speech Tagging via Adversarial Training NAACL 2018 RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints CVPR 2018 Sampling Informative Training Data for RNN Language Models ACL 2018 Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning Interspeech 2018 Sanskrit Sandhi Splitting using seq2(seq)2 EMNLP 2018 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation CoRL 2018 Scaling provable adversarial defenses NeurIPS 2018