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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)

Single-Channel Speech Enhancement by Subspace Affinity Minimization Interspeech 2020 Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard Interspeech 2020 Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline CVPR 2020 Single Image Optical Flow Estimation With an Event Camera CVPR 2020 Single Image Reflection Removal With Physically-Based Training Images CVPR 2020 Single Model Ensemble using Pseudo-Tags and Distinct Vectors ACL 2020 Single-Side Domain Generalization for Face Anti-Spoofing CVPR 2020 Single-Stage Semantic Segmentation From Image Labels CVPR 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Single-View View Synthesis With Multiplane Images CVPR 2020 Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets EMNLP 2020 Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt CVPR 2020 Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval CVPR 2020 Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers ACL 2020 Slice-Aware Neural Ranking EMNLP 2020 Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking EMNLP 2020 Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network ACL 2020 SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling EMNLP 2020 SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection CVPR 2020 SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020 SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning AAAI 2020 Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification CVPR 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training EMNLP 2020 Soft Gazetteers for Low-Resource Named Entity Recognition ACL 2020