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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)

A Study on Fine-Tuning wav2vec2.0 Model for the Task of Mispronunciation Detection and Diagnosis Interspeech 2021 A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021 Asymmetric Metric Learning for Knowledge Transfer CVPR 2021 Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 A Text Editing Approach to Joint Japanese Word Segmentation, POS Tagging, and Lexical Normalization EMNLP 2021 A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives EMNLP 2021 ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation CVPR 2021 Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots EMNLP 2021 Attention-based Contrastive Learning for Winograd Schemas EMNLP 2021 Attention Bottlenecks for Multimodal Fusion NeurIPS 2021 Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes AAAI 2021 Attribute Alignment: Controlling Text Generation from Pre-trained Language Models EMNLP 2021 Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021 Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention AAAI 2021 Audio-Visual Instance Discrimination with Cross-Modal Agreement CVPR 2021 Audio-Visual Localization by Synthetic Acoustic Image Generation AAAI 2021 Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection Interspeech 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 Augmented Partial Mutual Learning with Frame Masking for Video Captioning AAAI 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021 AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021 AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models EMNLP 2021 A unified approach to sentence segmentation of punctuated text in many languages ACL 2021