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
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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)
Centrality-aware Product Retrieval and Ranking
EMNLP 2024
CEO: Corpus-based Open-Domain Event Ontology Induction
EACL 2024
CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation
COLING 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance
EMNLP 2024
Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models
NeurIPS 2024
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
NeurIPS 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NeurIPS 2024
CFEVER: A Chinese Fact Extraction and VERification Dataset
AAAI 2024
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
AAAI 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NeurIPS 2024
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
CVPR 2024
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
CVPR 2024
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
COLING 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
EMNLP 2024
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation
ACL 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
EMNLP 2024
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning
ACL 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning
NeurIPS 2024
Chain-of-Thought Predictive Control
ICML 2024
Chain-of-Thought Reasoning Without Prompting
NeurIPS 2024
Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation
SemEval 2024
Challenges in Urdu Machine Translation
ACL 2024
Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness
ACL 2024
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
ICLR 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
NeurIPS 2024