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)
Analysis of Plan-based Retrieval for Grounded Text Generation
EMNLP 2024
Analyzing and Improving Optimal-Transport-based Adversarial Networks
ICLR 2024
Analyzing Context Contributions in LLM-based Machine Translation
EMNLP 2024
Analyzing Diffusion Models on Synthesizing Training Datasets
ACML 2024
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts
EMNLP 2024
Analyzing the Domain Shift Immunity of Deep Homography Estimation
WACV 2024
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
CVPR 2024
Anchor-based Robust Finetuning of Vision-Language Models
CVPR 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
AAAI 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
AAAI 2024
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
NeurIPS 2024
An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements
ACL 2024
An Empirical Study Into What Matters for Calibrating Vision-Language Models
ICML 2024
An Empirical Study of CLIP for Text-Based Person Search
AAAI 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation
ACL 2024
An Empirical Study of Multilingual Reasoning Distillation for Question Answering
EMNLP 2024
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
CVPR 2024
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
ACL 2024
An Entropy-based Text Watermarking Detection Method
ACL 2024
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
EMNLP 2024
A New Benchmark and Model for Challenging Image Manipulation Detection
AAAI 2024
A new machine-actionable corpus for ancient text restoration
ACL 2024
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
NeurIPS 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
NeurIPS 2024