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)
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing
EMNLP 2024
Mitigating Hallucination in Fictional Character Role-Play
EMNLP 2024
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
ACL 2024
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
AAAI 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
CVPR 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
CVPR 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
CVPR 2024
Mitigating Open-Vocabulary Caption Hallucinations
EMNLP 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
UAI 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
ICML 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
NeurIPS 2024
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
ACL 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
NeurIPS 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)
IJCAI 2024
Mitigating Spurious Correlations via Disagreement Probability
NeurIPS 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
EMNLP 2024
MIT-KEC-NLP@DravidianLangTech-EACL 2024: Offensive Content Detection in Kannada and Kannada-English Mixed Text Using Deep Learning Techniques
EACL 2024
MiTTenS: A Dataset for Evaluating Gender Mistranslation
EMNLP 2024
MIVC: Multiple Instance Visual Component for Visual-Language Models
WACV 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024
Mixture of Demonstrations for In-Context Learning
NeurIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NeurIPS 2024
Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models
COLING 2024
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
NeurIPS 2024