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

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)

Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Compressed Regression NeurIPS 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Discriminative K-means for Clustering NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007