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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
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'25
Papers (including subtopics)
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
NeurIPS 2024
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
NeurIPS 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
EMNLP 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
AAAI 2024
DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models
ACML 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NeurIPS 2024
DCU ADAPT at WMT24: English to Low-resource Multi-Modal Translation Task
EMNLP 2024
DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models
AAAI 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining
AAAI 2024
DDPrompt: Differential Diversity Prompting in Large Language Models
ACL 2024
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
NeurIPS 2024
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract)
AAAI 2024
Dealing with Synthetic Data Contamination in Online Continual Learning
NeurIPS 2024
Debiased Novel Category Discovering and Localization
AAAI 2024
Debiasing Large Language Models with Structured Knowledge
ACL 2024
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
AAAI 2024
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework
EMNLP 2024
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
EMNLP 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
ECCV 2024
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
ICLR 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
ICML 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Decomposable Transformer Point Processes
NeurIPS 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
CVPR 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NeurIPS 2024