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)
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
EMNLP 2024
Mixture-of-Subspaces in Low-Rank Adaptation
EMNLP 2024
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
ACL 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
CVPR 2024
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
NeurIPS 2024
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance
EMNLP 2024
MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters
ACML 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024
MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos
EMNLP 2024
MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
NeurIPS 2024
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
CVPR 2024
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning
CVPR 2024
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
EMNLP 2024
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
ICML 2024
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
AAAI 2024
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
ICML 2024
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
NeurIPS 2024
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
CVPR 2024
MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech
ACL 2024
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
EMNLP 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
NeurIPS 2024
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
EMNLP 2024
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
ACL 2024
Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval
WACV 2024
MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing
ACL 2024