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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)

Hierarchical Recurrent Aggregative Generation for Few-Shot NLG ACL 2022 Hierarchical Sketch Induction for Paraphrase Generation ACL 2022 HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NeurIPS 2022 HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing ACL 2022 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NeurIPS 2022 Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection AAAI 2022 High-Resolution Image Harmonization via Collaborative Dual Transformations CVPR 2022 Hilbert Distillation for Cross-Dimensionality Networks NeurIPS 2022 Hindsight Foresight Relabeling for Meta-Reinforcement Learning ICLR 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 HINT: Hierarchical Neuron Concept Explainer CVPR 2022 History Compression via Language Models in Reinforcement Learning ICML 2022 HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding EMNLP 2022 HLDC: Hindi Legal Documents Corpus ACL 2022 HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned From Static Images CVPR 2022 HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes ACL 2022 Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations NeurIPS 2022 Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding ACL 2022 How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction EMNLP 2022 How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing? ACL 2022 How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns NAACL 2022 How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks ACL 2022 How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image ACL 2022 How Language-Dependent is Emotion Detection? Evidence from Multilingual BERT EMNLP 2022 How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022