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)
Putting the Object Back into Video Object Segmentation
CVPR 2024
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
EMNLP 2024
QAGait: Revisit Gait Recognition from a Quality Perspective
AAAI 2024
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
ICML 2024
QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition
CVPR 2024
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
EMNLP 2024
QEFT: Quantization for Efficient Fine-Tuning of LLMs
EMNLP 2024
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
EMNLP 2024
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
AAAI 2024
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
CVPR 2024
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
EMNLP 2024
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
EMNLP 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
EMNLP 2024
Quantifying Representation Reliability in Self-Supervised Learning Models
UAI 2024
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
EMNLP 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection
AAAI 2024
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation
AAAI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
UAI 2024
Quantum Deep Equilibrium Models
NeurIPS 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning
EMNLP 2024
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
EMNLP 2024
Question-Instructed Visual Descriptions for Zero-Shot Video Answering
ACL 2024