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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)

SimpleNet: A Simple Network for Image Anomaly Detection and Localization CVPR 2023 Simplified Temporal Consistency Reinforcement Learning ICML 2023 Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ICLR 2023 Simplifying Neural Network Training Under Class Imbalance NeurIPS 2023 SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation CVPR 2023 Simulating Network Paths with Recurrent Buffering Units AAAI 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023 SINAI at RadSum23: Radiology Report Summarization Based on Domain-Specific Sequence-To-Sequence Transformer Model ACL 2023 Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023 Single Image Depth Prediction Made Better: A Multivariate Gaussian Take CVPR 2023 Single Image Super-resolution Based On Non-subsampled Shearlet Transform ACML 2023 Single-Stage Visual Query Localization in Egocentric Videos NeurIPS 2023 Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs AAAI 2023 SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning EMNLP 2023 Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings CVPR 2023 Skill-it! A data-driven skills framework for understanding and training language models NeurIPS 2023 SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images CVPR 2023 SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT ACL 2023 SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023 SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model ICCV 2023 SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images AAAI 2023 SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023 SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT ACL 2023 SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023