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)
Invisible Backdoor Attack against Self-supervised Learning
CVPR 2025
IPO: Your Language Model is Secretly a Preference Classifier
ACL 2025
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
ACL 2025
IRSum: One Model to Rule Summarization and Retrieval
ACL 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
EMNLP 2025
Is CLIP ideal? No. Can we fix it? Yes!
ICCV 2025
I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content
EMNLP 2025
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
SemEval 2025
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
ICCV 2025
Is linguistically-motivated data augmentation worth it?
ACL 2025
Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data
ACL 2025
Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
CVPR 2025
Is Synthetic Data Truly Effective for Training Speech Language Models?
Interspeech 2025
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
ACL 2025
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
CVPR 2025
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception
AAAI 2025
Is Your Image a Good Storyteller?
AAAI 2025
Is your model big enough? Training and interpreting large-scale monolingual speech foundation models
Interspeech 2025
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
ACL 2025
Iterative Multilingual Spectral Attribute Erasure
EMNLP 2025
Iterative Refinement, Not Training Objective, Makes HuBERT Behave Differently from wav2vec 2.0
Interspeech 2025
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
AAAI 2025
Iterative Sparse Attention for Long-sequence Recommendation
AAAI 2025
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
AAAI 2025
ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer Models
SemEval 2025