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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477

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1,314

2,083

3,689

4,652

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6,826

8,201

8,755

9,258

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2000

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Papers (including subtopics)

Co-Regularized Hashing for Multimodal Data NeurIPS 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Density-Difference Estimation NeurIPS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Differentially Private Online Learning COLT 2012 Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NeurIPS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Distributed Non-Stochastic Experts NeurIPS 2012 Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012