arXiv
@ai_python_arxiv
1.72K subscribers
15.5K photos
10 videos
16 files
8.37K links
ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

Admins:
@ffarzaddh
Download Telegram
About
Blog
Apps
Platform
Join
arXiv
1.72K subscribers
arXiv
🗒Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
200 views
arXiv
🗒Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajector...
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
195 views
arXiv
🗒Neural Jump Stochastic Differential Equations.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
193 views
arXiv
🗒InfoRL: Interpretable Reinforcement Learning using Information Maximization.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
192 views
arXiv
🗒Search for Higgs and Z boson decays to J/$\psi$ or $\Upsilon$ pairs in proton-proton coll...
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
159 views
arXiv
🗒Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
188 views
arXiv
🗒Primordial Gravitational Waves in Non-standard Cosmologies.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
158 views
arXiv
🗒Using Deep Networks and Transfer Learning to Address Disinformation.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
164 views
arXiv
🗒Quantum-inspired algorithms in practice.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
164 views
arXiv
🗒Rescattering effects in antiproton-induced exclusive $J/\psi$ and $\psi^\prime$ productio...
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
166 views
arXiv
🗒Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain...
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
138 views
arXiv
🗒A general method for regularizing tensor decomposition methods via pseudo-data.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
165 views
arXiv
🗒Human vs. Muppet: A Conservative Estimate of HumanPerformance on the GLUE Benchmark.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
165 views
arXiv
🗒DIVA: Domain Invariant Variational Autoencoders.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
170 views
arXiv
🗒LdSM: Logarithm-depth Streaming Multi-label Decision Trees.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
174 views
arXiv
🗒What Syntactic Structures block Dependencies in RNN Language Models?.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
172 views
arXiv
🗒N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
215 views
arXiv
🗒Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
202 views
arXiv
🗒Tight Linear Convergence Rate of ADMM for Decentralized Optimization.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
201 views
arXiv
🗒A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks.
📗PDF

#arXiv
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
200 views