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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)

Deeply Coupled Cross-Modal Prompt Learning ACL 2023 Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023 DeePMOS: Deep Posterior Mean-Opinion-Score of Speech Interspeech 2023 Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution AAAI 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 Deep Reinforcement Learning with Plasticity Injection NeurIPS 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain ACML 2023 Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition ACML 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Defining and Quantifying the Emergence of Sparse Concepts in DNNs CVPR 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 DegAE: A New Pretraining Paradigm for Low-Level Vision CVPR 2023 DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction CVPR 2023 Deja Vu: Continual Model Generalization for Unseen Domains ICLR 2023 DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds ICCV 2023 DeLiRa: Self-Supervised Depth, Light, and Radiance Fields ICCV 2023 DeltaScore: Fine-Grained Story Evaluation with Perturbations EMNLP 2023 Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery AAAI 2023 Delving into the Openness of CLIP ACL 2023 Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint CVPR 2023 Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023