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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)

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 Formal Explanations of Neural Network Policies for Planning IJCAI 2023 FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023 For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023 Foundation Model for Material Science AAAI 2023 Foundation Model is Efficient Multimodal Multitask Model Selector NeurIPS 2023 Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task ACL 2023 Fourier-Net: Fast Image Registration with Band-Limited Deformation AAAI 2023 Frame-Event Alignment and Fusion Network for High Frame Rate Tracking CVPR 2023 Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition AAAI 2023 Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models EMNLP 2023 Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification EMNLP 2023 FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding CVPR 2023 FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model ICCV 2023 FreeEnricher: Enriching Face Landmarks without Additional Cost AAAI 2023 Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging ACL 2023 FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization CVPR 2023 Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023 Frequency-dependent Image Reconstruction Error for Micro Defect Detection ACML 2023 Frequency Domain Disentanglement for Arbitrary Neural Style Transfer AAAI 2023 Frequency Selective Augmentation for Video Representation Learning AAAI 2023 Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis AAAI 2023 From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution AAAI 2023 From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models ACL 2023