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)
Investigating Mysteries of CoT-Augmented Distillation
EMNLP 2024
Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures
Interspeech 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
EMNLP 2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
AAAI 2024
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
AAAI 2024
IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images
CVPR 2024
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
CVPR 2024
IReNe: Instant Recoloring of Neural Radiance Fields
CVPR 2024
Irrelevant Alternatives Bias Large Language Model Hiring Decisions
EMNLP 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
NeurIPS 2024
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CVPR 2024
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
EMNLP 2024
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
ICML 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
NeurIPS 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AAAI 2024
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
EMNLP 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models
CVPR 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
NeurIPS 2024
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
NeurIPS 2024
Iterative Multi-Granular Image Editing Using Diffusion Models
WACV 2024
iToF-flow-based High Frame Rate Depth Imaging
CVPR 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
AAAI 2024
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model
ACL 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NeurIPS 2024