Show newer

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. (arXiv:2007.00051v1 [cs.LG]) arxiv.org/abs/2007.00051

Adversarial Mutual Information for Text Generation. (arXiv:2007.00067v1 [cs.CL]) arxiv.org/abs/2007.00067

Data Movement Is All You Need: A Case Study of Transformer Networks. (arXiv:2007.00072v1 [cs.LG]) arxiv.org/abs/2007.00072

Similarity Search for Efficient Active Learning and Search of Rare Concepts. (arXiv:2007.00077v1 [cs.LG]) arxiv.org/abs/2007.00077

Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings. (arXiv:2007.00080v1 [cs.LG]) arxiv.org/abs/2007.00080

Continuous-Time Multi-Armed Bandits with Controlled Restarts. (arXiv:2007.00081v1 [cs.LG]) arxiv.org/abs/2007.00081

Simple conditions for convergence of sequential Monte Carlo genealogies with applications. (arXiv:2007.00096v1 [stat.CO]) arxiv.org/abs/2007.00096

Filtering of stationary Gaussian statistical experiments. (arXiv:2006.16244v1 [math.ST]) arxiv.org/abs/2006.16244

Optimization Landscape of Tucker Decomposition. (arXiv:2006.16297v1 [cs.LG]) arxiv.org/abs/2006.16297

Adversarial Learning for Debiasing Knowledge Graph Embeddings. (arXiv:2006.16309v1 [cs.LG]) arxiv.org/abs/2006.16309

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. (arXiv:2006.16312v1 [cs.LG]) arxiv.org/abs/2006.16312

Scaling Symbolic Methods using Gradients for Neural Model Explanation. (arXiv:2006.16322v1 [cs.LG]) arxiv.org/abs/2006.16322

Inference in Bayesian Additive Vector Autoregressive Tree Models. (arXiv:2006.16333v1 [econ.EM]) arxiv.org/abs/2006.16333

Handling Missing Data in Decision Trees: A Probabilistic Approach. (arXiv:2006.16341v1 [cs.LG]) arxiv.org/abs/2006.16341

Material Recognition for Automated Progress Monitoring using Deep Learning Methods. (arXiv:2006.16344v1 [cs.CV]) arxiv.org/abs/2006.16344

Data integration in high dimension with multiple quantiles. (arXiv:2006.16357v1 [stat.ME]) arxiv.org/abs/2006.16357

Penalized regression with multiple loss functions and selection by vote. (arXiv:2006.16361v1 [stat.ME]) arxiv.org/abs/2006.16361

Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation. (arXiv:2006.15166v1 [cs.LG]) arxiv.org/abs/2006.15166

Deep Involutive Generative Models for Neural MCMC. (arXiv:2006.15167v1 [stat.ML]) arxiv.org/abs/2006.15167

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. (arXiv:2006.15168v1 [stat.ML]) arxiv.org/abs/2006.15168

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.