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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)

Exploring Stroke-Level Modifications for Scene Text Editing AAAI 2023 Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels CVPR 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks AAAI 2023 Exploring Temporally Dynamic Data Augmentation for Video Recognition ICLR 2023 Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change ACL 2023 Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023 ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook EMNLP 2023 Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels AAAI 2023 Expressive Machine Dubbing Through Phrase-level Cross-lingual Prosody Transfer Interspeech 2023 Expressive probabilistic sampling in recurrent neural networks NeurIPS 2023 ExPT: Synthetic Pretraining for Few-Shot Experimental Design NeurIPS 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023 Extract and Attend: Improving Entity Translation in Neural Machine Translation ACL 2023 Extracting Class Activation Maps From Non-Discriminative Features As Well CVPR 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface AAAI 2023 Extrapolating Multilingual Understanding Models as Multilingual Generators EMNLP 2023 FAC: 3D Representation Learning via Foreground Aware Feature Contrast CVPR 2023 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer AAAI 2023 FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing ACL 2023 Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback ACL 2023 Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation EMNLP 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023