Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification
SemEval 2024
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering
ACL 2024
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
SemEval 2024
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
SemEval 2024
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
SemEval 2024
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
EMNLP 2024
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
ICLR 2024
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
ICLR 2024
Image Labels Are All You Need for Coarse Seagrass Segmentation
WACV 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
CVPR 2024
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
CVPR 2024
Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification
IJCAI 2024
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective
EMNLP 2024
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation
EMNLP 2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
CVPR 2024
Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
CVPR 2024
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
AAAI 2024
Imitating Language via Scalable Inverse Reinforcement Learning
NeurIPS 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
NeurIPS 2024
Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines
COLING 2024
Impacts of Misspelled Queries on Translation and Product Search
ACL 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
EMNLP 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
IJCAI 2024
Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks
IJCAI 2024