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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)

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task EMNLP 2022 ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition NeurIPS 2022 Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NeurIPS 2022 Communication breakdown: On the low mutual intelligibility between human and neural captioning EMNLP 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NeurIPS 2022 Comparative Analysis of Cross-lingual Contextualized Word Embeddings EMNLP 2022 Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers Interspeech 2022 Comparing Correspondences: Video Prediction With Correspondence-Wise Losses CVPR 2022 Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022 Compilable Neural Code Generation with Compiler Feedback ACL 2022 Complex Backdoor Detection by Symmetric Feature Differencing CVPR 2022 Complex Momentum for Optimization in Games AISTATS 2022 Composable Sparse Fine-Tuning for Cross-Lingual Transfer ACL 2022 Composing Ci with Reinforced Non-autoregressive Text Generation EMNLP 2022 Composing Structure-Aware Batches for Pairwise Sentence Classification ACL 2022 Composite Feature Selection Using Deep Ensembles NeurIPS 2022 Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language NeurIPS 2022 Compositional generalization through abstract representations in human and artificial neural networks NeurIPS 2022 Comprehending and Ordering Semantics for Image Captioning CVPR 2022 Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning ICML 2022 Comprehensive Multi-Modal Interactions for Referring Image Segmentation ACL 2022 Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection AAAI 2022 Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation ACL 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 CoMPS: Continual Meta Policy Search ICLR 2022