An Introduction to Automatic Differentiation forMachine Learning. (arXiv:2110.06209v1 [cs.LG]) http://arxiv.org/abs/2110.06209
Diagonalizing Against Polynomial-Time Bounded Turing Machines Via Nondeterministic Turing Machine. (arXiv:2110.06211v1 [cs.CC]) http://arxiv.org/abs/2110.06211
Global Convergence of Triangularized Orthogonalization-free Method. (arXiv:2110.06212v1 [math.NA]) http://arxiv.org/abs/2110.06212
A Cross-Platform Benchmark for Interval Computation Libraries. (arXiv:2110.06215v1 [cs.MS]) http://arxiv.org/abs/2110.06215
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI. (arXiv:2110.06223v1 [cs.CL]) http://arxiv.org/abs/2110.06223
Molecular Graph Generation via Geometric Scattering. (arXiv:2110.06241v1 [cs.LG]) http://arxiv.org/abs/2110.06241
Congruence properties of combinatorial sequences via Walnut and the Rowland-Yassawi-Zeilberger automaton. (arXiv:2110.06244v1 [math.CO]) http://arxiv.org/abs/2110.06244
StateAFL: Greybox Fuzzing for Stateful Network Servers. (arXiv:2110.06253v1 [cs.CR]) http://arxiv.org/abs/2110.06253
Not all noise is accounted equally: How differentially private learning benefits from large sampling rates. (arXiv:2110.06255v1 [cs.LG]) http://arxiv.org/abs/2110.06255
On Convergence of Training Loss Without Reaching Stationary Points. (arXiv:2110.06256v1 [cs.LG]) http://arxiv.org/abs/2110.06256
Image Compression and Classification Using Qubits and Quantum Deep Learning. (arXiv:2110.05476v1 [quant-ph]) http://arxiv.org/abs/2110.05476
Predicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks. (arXiv:2110.05477v1 [cs.LG]) http://arxiv.org/abs/2110.05477
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design. (arXiv:2110.05478v1 [q-bio.QM]) http://arxiv.org/abs/2110.05478
Which Samples Should be Learned First: Easy or Hard?. (arXiv:2110.05481v1 [cs.LG]) http://arxiv.org/abs/2110.05481
Satellite galaxy abundance dependency on cosmology in Magneticum simulations. (arXiv:2110.05498v1 [astro-ph.CO]) http://arxiv.org/abs/2110.05498
Learnability of the output distributions of local quantum circuits. (arXiv:2110.05517v1 [quant-ph]) http://arxiv.org/abs/2110.05517
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. (arXiv:2110.05518v1 [cs.LG]) http://arxiv.org/abs/2110.05518
UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image. (arXiv:2110.05523v1 [cs.CV]) http://arxiv.org/abs/2110.05523
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference. (arXiv:2110.05524v1 [cs.CR]) http://arxiv.org/abs/2110.05524
Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression. (arXiv:2110.05525v1 [eess.SY]) http://arxiv.org/abs/2110.05525
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