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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
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'25

Papers (including subtopics)

Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs Interspeech 2020 A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments EMNLP 2020 ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes CVPR 2020 A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction EMNLP 2020 A Self-supervised Approach for Adversarial Robustness CVPR 2020 A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP 2020 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 A Semi-Supervised BERT Approach for Arabic Named Entity Recognition COLING 2020 A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning CVPR 2020 A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis EMNLP 2020 A Simple and Effective Dependency Parser for Telugu ACL 2020 A Simple and Effective Unified Encoder for Document-Level Machine Translation ACL 2020 A Simple Yet Strong Pipeline for HotpotQA EMNLP 2020 Asking without Telling: Exploring Latent Ontologies in Contextual Representations EMNLP 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020 A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature EMNLP 2020 A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation JMLR 2020 A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image CVPR 2020 Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products AAAI 2020 A Spectral Method for Unsupervised Multi-Document Summarization EMNLP 2020 A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video AAAI 2020 Assessing Phrasal Representation and Composition in Transformers EMNLP 2020 Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020 A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning ACML 2020