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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)

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration ICCV 2023 Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations AAAI 2023 Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery AAAI 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 Policy Adaptation From Foundation Model Feedback CVPR 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games NeurIPS 2023 POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images NeurIPS 2023 Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation CVPR 2023 Position-Guided Text Prompt for Vision-Language Pre-Training CVPR 2023 Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue ACL 2023 Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation CVPR 2023 PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout CVPR 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Practical Cross-System Shilling Attacks with Limited Access to Data AAAI 2023 Practical Disruption of Image Translation Deepfake Networks AAAI 2023 PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition ACL 2023 PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter EMNLP 2023 Precise Zero-Shot Dense Retrieval without Relevance Labels ACL 2023 Predicting Numerals in Text Using Nearest Neighbor Language Models ACL 2023 Predictive Chemistry Augmented with Text Retrieval EMNLP 2023 Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023 PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NeurIPS 2023 Preference-grounded Token-level Guidance for Language Model Fine-tuning NeurIPS 2023