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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)

Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023 Detecting Syntactic Change with Pre-trained Transformer Models EMNLP 2023 Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features Interspeech 2023 Detection of Laughter and Screaming Using the Attention and CTC Models Interspeech 2023 Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023 DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection EMNLP 2023 DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023 Detrimental Contexts in Open-Domain Question Answering EMNLP 2023 Developing the Wheel Image Similarity Application with Deep Metric Learning: Hyundai Motor Company Case AAAI 2023 DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics ICLR 2023 DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis ACL 2023 DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic EMNLP 2023 Dialect-to-Standard Normalization: A Large-Scale Multilingual Evaluation EMNLP 2023 DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines EMNLP 2023 Dialog-Post: Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training ACL 2023 Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning EMNLP 2023 Dichotomy of Control: Separating What You Can Control from What You Cannot ICLR 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Difference-Masking: Choosing What to Mask in Continued Pretraining EMNLP 2023 Differentiable and Transportable Structure Learning ICML 2023 Differentiable Clustering with Perturbed Spanning Forests NeurIPS 2023 Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023 Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NeurIPS 2023 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning ICCV 2023