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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)

UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection CVPR 2022 UMUTeam@TamilNLP-ACL2022: Abusive Detection in Tamil using Linguistic Features and Transformers ACL 2022 UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil ACL 2022 Unbabel-IST at the WMT Chat Translation Shared Task EMNLP 2022 Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation CVPR 2022 Uncertainty Calibration for Deep Audio Classifiers Interspeech 2022 Uncertainty-Driven Dehazing Network AAAI 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NeurIPS 2022 Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022 Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment NeurIPS 2022 Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries NeurIPS 2022 Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders EMNLP 2022 Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation ACL 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 Understanding Attention for Vision-and-Language Tasks COLING 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022 Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions EMNLP 2022 Understanding Domain Randomization for Sim-to-real Transfer ICLR 2022 Understanding Game-Playing Agents with Natural Language Annotations ACL 2022 Understanding Iterative Revision from Human-Written Text ACL 2022 Understanding Robust Learning through the Lens of Representation Similarities NeurIPS 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers NeurIPS 2022