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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)

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NeurIPS 2023 GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction AAAI 2023 GraVoS: Voxel Selection for 3D Point-Cloud Detection CVPR 2023 Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement ICLR 2023 GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer AAAI 2023 Grokking of Hierarchical Structure in Vanilla Transformers ACL 2023 Gromov-Wasserstein Autoencoders ICLR 2023 Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding EMNLP 2023 Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space CVPR 2023 Ground-Truth Free Meta-Learning for Deep Compressive Sampling CVPR 2023 Grouped Knowledge Distillation for Deep Face Recognition AAAI 2023 GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023 GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training ICCV 2023 GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds CVPR 2023 GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets EMNLP 2023 gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction CVPR 2023 GSLB: The Graph Structure Learning Benchmark NeurIPS 2023 G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network ACL 2023 Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners ICLR 2023 Guided Depth Super-Resolution by Deep Anisotropic Diffusion CVPR 2023 GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps AAAI 2023 Guided Recommendation for Model Fine-Tuning CVPR 2023 Guiding continuous operator learning through Physics-based boundary constraints ICLR 2023 Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens ACL 2023 GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence NeurIPS 2023