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)
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting
ACL 2024
Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation
MICCAI 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
ACL 2024
Confidential-DPproof: Confidential Proof of Differentially Private Training
ICLR 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NeurIPS 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
AAAI 2024
Conformal Contextual Robust Optimization
AISTATS 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
JMLR 2024
Conformal Inverse Optimization
NeurIPS 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
AISTATS 2024
Conformalized Time Series with Semantic Features
NeurIPS 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
AAAI 2024
CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models
CVPR 2024
Confounded Budgeted Causal Bandits
CLeaR 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
AAAI 2024
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
ACL 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
NeurIPS 2024
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
ICLR 2024
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
NeurIPS 2024
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
ICML 2024
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
EMNLP 2024
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs
NAACL 2024
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
NeurIPS 2024