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
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Papers (including subtopics)
UFCNet: Unsupervised Network based on Fourier transform and Convolutional attention for Oracle Character Recognition
ACL 2024
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
AAAI 2024
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
ACL 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
NeurIPS 2024
UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5)
ACL 2024
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
ICML 2024
ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
EMNLP 2024
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average
EMNLP 2024
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
NeurIPS 2024
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
ACL 2024
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
ACL 2024
UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training
MIDL 2024
UltraMedical: Building Specialized Generalists in Biomedicine
NeurIPS 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling
ACL 2024
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
CVPR 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation
AAAI 2024
UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation
SemEval 2024
UMB: Understanding Model Behavior for Open-World Object Detection
NeurIPS 2024
UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers
SemEval 2024
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2024
Unbiased Active Semi-supervised Binary Classification Models
IJCAI 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
CVPR 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation
CVPR 2024
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
ICLR 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
AISTATS 2024