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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)

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding AAAI 2022 Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES NAACL 2022 JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation EMNLP 2022 JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection ACL 2022 Joint Coreference Resolution for Zeros and non-Zeros in Arabic EMNLP 2022 Joint Global and Local Hierarchical Priors for Learned Image Compression CVPR 2022 Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg AAAI 2022 Joint Language Semantic and Structure Embedding for Knowledge Graph Completion COLING 2022 Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation NeurIPS 2022 Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer CVPR 2022 KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification AAAI 2022 KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering EMNLP 2022 KE-GCL: Knowledge Enhanced Graph Contrastive Learning for Commonsense Question Answering EMNLP 2022 KerGNNs: Interpretable Graph Neural Networks with Graph Kernels AAAI 2022 Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022 Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022 KESA: A Knowledge Enhanced Approach To Sentiment Analysis AACL 2022 Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022 Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation ACL 2022 KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022 KGI: An Integrated Framework for Knowledge Intensive Language Tasks EMNLP 2022 KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation AAAI 2022 Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC CVPR 2022 Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop WACV 2022 Knowledge-Augmented Methods for Natural Language Processing ACL 2022