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
'20
'25
Papers (including subtopics)
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
NeurIPS 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
EMNLP 2024
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
NAACL 2024
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
NeurIPS 2024
Domain Adaptation for Large-Vocabulary Object Detectors
NeurIPS 2024
Domain Adaptation via Prompt Learning for Alzheimer’s Detection
EMNLP 2024
Domain Adaptation with Cauchy-Schwarz Divergence
UAI 2024
Domain Aligned CLIP for Few-Shot Classification
WACV 2024
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation
ACL 2024
Domain-Controlled Prompt Learning
AAAI 2024
Domain Generalization with Vital Phase Augmentation
AAAI 2024
Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing
AAAI 2024
Domain Prompt Learning with Quaternion Networks
CVPR 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
CVPR 2024
Domain Separation Graph Neural Networks for Saliency Object Ranking
CVPR 2024
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
CVPR 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024
Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
EMNLP 2024
Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
ACL 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
NeurIPS 2024
Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
EMNLP 2024
Doubly Abductive Counterfactual Inference for Text-based Image Editing
CVPR 2024
Do Vision and Language Encoders Represent the World Similarly?
CVPR 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024