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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)

Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns EMNLP 2020 ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization EMNLP 2020 Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution CVPR 2020 ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT ACL 2020 ZSTAD: Zero-Shot Temporal Activity Detection CVPR 2020 2.5D Visual Sound CVPR 2019 3D Appearance Super-Resolution With Deep Learning CVPR 2019 3D Hand Shape and Pose Estimation From a Single RGB Image CVPR 2019 3D Hand Shape and Pose From Images in the Wild CVPR 2019 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans CVPR 2019 3D Volumetric Modeling with Introspective Neural Networks AAAI 2019 A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes AAAI 2019 ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019 A Benchmark for Interpretability Methods in Deep Neural Networks NeurIPS 2019 A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification AAAI 2019 ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System EMNLP 2019 Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization ACL 2019 Abstract Reasoning with Distracting Features NeurIPS 2019 Abstract Text Summarization: A Low Resource Challenge EMNLP 2019 Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019 ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019 Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019 A Closed-Form Solution to Universal Style Transfer ICCV 2019 A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019 ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition AAAI 2019