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)
Diverse Imagenet Models Transfer Better
WACV 2024
Diverse Person: Customize Your Own Dataset for Text-Based Person Search
AAAI 2024
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)
AAAI 2024
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
EMNLP 2024
Divide and Conquer: Hybrid Pre-training for Person Search
AAAI 2024
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning
EMNLP 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
ICLR 2024
Divide-or-Conquer? Which Part Should You Distill Your LLM?
EMNLP 2024
DLRG-DravidianLangTech@EACL2024 : Combating Hate Speech in Telugu Code-mixed Text on Social Media
EACL 2024
DLUT and GTCOM’s Neural Machine Translation Systems for WMT24
EMNLP 2024
DM-BLI: Dynamic Multiple Subspaces Alignment for Unsupervised Bilingual Lexicon Induction
ACL 2024
DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation
AAAI 2024
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
NeurIPS 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
ACL 2024
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
CVPR 2024
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
EMNLP 2024
DocFormerv2: Local Features for Document Understanding
AAAI 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
EMNLP 2024
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations
AAAI 2024
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
NeurIPS 2024
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
EMNLP 2024
Document-Level Machine Translation with Large-Scale Public Parallel Corpora
ACL 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
ACL 2024
Does Few-Shot Learning Suffer from Backdoor Attacks?
AAAI 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024