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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)

AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023 A GAN Speech Inpainting Model for Audio Editing Software Interspeech 2023 A General Framework for Multimodal Argument Persuasiveness Classification of Tweets EMNLP 2023 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023 A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning AAAI 2023 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023 Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring ACL 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation ICCV 2023 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023 AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023 A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images CVPR 2023 A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space NeurIPS 2023 A High-Resolution Dataset for Instance Detection with Multi-View Object Capture NeurIPS 2023 A Holistic Approach to Undesired Content Detection in the Real World AAAI 2023 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs NeurIPS 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023 A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023 A Large-Scale Robustness Analysis of Video Action Recognition Models CVPR 2023 A Length-Extrapolatable Transformer ACL 2023 Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait SemEval 2023 Alex-U 2023 NLP at WojoodNER shared task: AraBINDER (Bi-encoder for Arabic Named Entity Recognition) EMNLP 2023 AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition EMNLP 2023