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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)

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023 BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition AAAI 2023 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation ACL 2023 Bilateral Memory Consolidation for Continual Learning CVPR 2023 Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond IJCAI 2023 Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training ACL 2023 Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection CVPR 2023 Biomechanics-Guided Facial Action Unit Detection Through Force Modeling CVPR 2023 Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities ACL 2023 Biomedical Language Models are Robust to Sub-optimal Tokenization ACL 2023 Biomedical Relation Extraction with Entity Type Markers and Relation-specific Question Answering ACL 2023 BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations EMNLP 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning ICML 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 BIT’s System for Multilingual Track ACL 2023 BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos CVPR 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 BLIND: Bias Removal With No Demographics ACL 2023 Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective CVPR 2023 Blind Video Deflickering by Neural Filtering With a Flawed Atlas CVPR 2023 BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing NeurIPS 2023 BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation ACL 2023