conftrace_

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

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26

18

20

135

136

147

149

220

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316

526

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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)

Learning to Divide and Conquer for Online Multi-Target Tracking ICCV 2015 Learning to Linearize Under Uncertainty NeurIPS 2015 Learning to Propose Objects CVPR 2015 Learning to Rank Based on Subsequences ICCV 2015 Learning to See by Moving ICCV 2015 Learning to Segment Under Various Forms of Weak Supervision CVPR 2015 Learning Using Privileged Information: Similarity Control and Knowledge Transfer JMLR 2015 Learning Wake-Sleep Recurrent Attention Models NeurIPS 2015 Learning Where to Position Parts in 3D ICCV 2015 Learning with a Wasserstein Loss NeurIPS 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Learning with Incremental Iterative Regularization NeurIPS 2015 Learning with Relaxed Supervision NeurIPS 2015 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Local Causal Discovery of Direct Causes and Effects NeurIPS 2015 Local Convolutional Features With Unsupervised Training for Image Retrieval ICCV 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 Logarithmic Time Online Multiclass prediction NeurIPS 2015 Love Thy Neighbors: Image Annotation by Exploiting Image Metadata ICCV 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015