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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)

TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization CVPR 2023 Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders ICLR 2023 Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos AAAI 2023 T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation CVPR 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023 Tuning Computer Vision Models With Task Rewards ICML 2023 Turning a CLIP Model Into a Scene Text Detector CVPR 2023 Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023 TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023 Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023 Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning ACL 2023 Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-Supervised Depth Estimation ICCV 2023 Two-Shot Video Object Segmentation CVPR 2023 Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation NeurIPS 2023 Two-step Text Summarization for Long-form Biographical Narrative Genre ACL 2023 Two-Way Multi-Label Loss CVPR 2023 Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition EMNLP 2023 Type Enhanced BERT for Correcting NER Errors ACL 2023 Typology Guided Multilingual Position Representations: Case on Dependency Parsing ACL 2023 UCF: Uncovering Common Features for Generalizable Deepfake Detection ICCV 2023 UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic EMNLP 2023 UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition EMNLP 2023