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)
Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection
SemEval 2025
𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
ACL 2025
ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NeurIPS 2024
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
ICLR 2024
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
NeurIPS 2024
0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task
SemEval 2024
1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis
Interspeech 2024
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
EMNLP 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness
CVPR 2024
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
WACV 2024
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
NeurIPS 2024
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
ICLR 2024
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
IJCAI 2024
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
CVPR 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
NeurIPS 2024
3SD: Self-Supervised Saliency Detection With No Labels
WACV 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
NeurIPS 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
NeurIPS 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
NeurIPS 2024
AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning
AAAI 2024
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness
SemEval 2024
AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes
IJCAI 2024
AAST-NLP at ClimateActivism 2024: Ensemble-Based Climate Activism Stance and Hate Speech Detection : Leveraging Pretrained Language Models
EACL 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
CVPR 2024
A Bayesian Approach to Data Point Selection
NeurIPS 2024