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)
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation
AAAI 2024
Mind Artist: Creating Artistic Snapshots with Human Thought
CVPR 2024
Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
CVPR 2024
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
NeurIPS 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
EMNLP 2024
MIND: Multi-Task Incremental Network Distillation
AAAI 2024
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
CVPR 2024
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery
AAAI 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction
EMNLP 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
NeurIPS 2024
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
NeurIPS 2024
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
AAAI 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
AAAI 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NeurIPS 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
Mip-Splatting: Alias-free 3D Gaussian Splatting
CVPR 2024
MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection
CVPR 2024
Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
CVPR 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
EMNLP 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
ECCV 2024
MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning
ACL 2024
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment
EMNLP 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
NeurIPS 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
ACL 2024