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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)

Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia AAAI 2023 Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Models ACML 2023 Show & Tell: Voice Activity Projection and Turn-taking Interspeech 2023 Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval EMNLP 2023 shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation ACL 2023 SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation AAAI 2023 Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps AAAI 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023 Siamese Masked Autoencoders NeurIPS 2023 Side Adapter Network for Open-Vocabulary Semantic Segmentation CVPR 2023 SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P ACL 2023 Sign and Basis Invariant Networks for Spectral Graph Representation Learning ICLR 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Silver Syntax Pre-training for Cross-Domain Relation Extraction ACL 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding CVPR 2023 Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack ACL 2023 SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval ACL 2023 SimMatchV2: Semi-Supervised Learning with Graph Consistency ICCV 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NeurIPS 2023 SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation ACL 2023 Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023 Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023 Simple Disentanglement of Style and Content in Visual Representations ICML 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023