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)

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Papers (including subtopics)

Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transductive Learning of Structural SVMs via Prior Knowledge Constraints AISTATS 2012 Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Two-way Parallel Class Expression Learning ACML 2012 Unified Algorithms for Online Learning and Competitive Analysis COLT 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 UPAL: Unbiased Pool Based Active Learning AISTATS 2012 Using More Data to Speed-up Training Time AISTATS 2012 Value Pursuit Iteration NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012