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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)

Measuring and Reducing Model Update Regression in Structured Prediction for NLP NeurIPS 2022 Measuring Context-Word Biases in Lexical Semantic Datasets EMNLP 2022 Measuring Representational Robustness of Neural Networks Through Shared Invariances ICML 2022 Measuring the Language of Self-Disclosure across Corpora ACL 2022 MedCLIP: Contrastive Learning from Unpaired Medical Images and Text EMNLP 2022 MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering ACL 2022 MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ACL 2022 Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022 Memory-Augmented Non-Local Attention for Video Super-Resolution CVPR 2022 Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory AAAI 2022 Memory-Guided Semantic Learning Network for Temporal Sentence Grounding AAAI 2022 MEMO: Test Time Robustness via Adaptation and Augmentation NeurIPS 2022 Memotion Analysis through the Lens of Joint Embedding (Student Abstract) AAAI 2022 MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution ICML 2022 MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes ACL 2022 Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild WACV 2022 MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning ACL 2022 MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound CVPR 2022 Merry Go Round: Rotate a Frame and Fool a DNN CVPR 2022 Meta Convolutional Neural Networks for Single Domain Generalization CVPR 2022 Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models ACL 2022 Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts NeurIPS 2022 Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment AAAI 2022 MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022 Meta-Imitation Learning by Watching Video Demonstrations ICLR 2022