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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)

Image Retrieval for Arguments Using Stance-Aware Query Expansion EMNLP 2021 Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning AAAI 2021 IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement IJCAI 2021 Implicit Semantic Response Alignment for Partial Domain Adaptation NeurIPS 2021 Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation NeurIPS 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Improved Handling of Motion Blur in Online Object Detection CVPR 2021 Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation CVPR 2021 Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors ICLR 2021 Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised Learning Interspeech 2021 Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Improving Calibration through the Relationship with Adversarial Robustness NeurIPS 2021 Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning NeurIPS 2021 Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation AAAI 2021 Improving Compositional Generalization in Classification Tasks via Structure Annotations ACL 2021 Improving Compositionality of Neural Networks by Decoding Representations to Inputs NeurIPS 2021 Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio Interspeech 2021 Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation EMNLP 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Improving Factual Consistency of Abstractive Summarization on Customer Feedback ACL 2021 Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021 Improving Formality Style Transfer with Context-Aware Rule Injection ACL 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021