NeuralEF: Deconstructing Kernels by Deep Neural Networks. | 0 | 0.34 | 2022 |
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. | 0 | 0.34 | 2022 |
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning. | 0 | 0.34 | 2022 |
Memory Replay with Data Compression for Continual Learning | 0 | 0.34 | 2022 |
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR | 0 | 0.34 | 2022 |
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions | 3 | 0.42 | 2022 |
Towards generalizable detection of face forgery via self-guided model-agnostic learning | 0 | 0.34 | 2022 |
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. | 0 | 0.34 | 2022 |
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. | 0 | 0.34 | 2022 |
An evaluation of deep neural network models for music classification using spectrograms | 0 | 0.34 | 2022 |
Diagnosing Ensemble Few-Shot Classifiers | 0 | 0.34 | 2022 |
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models | 0 | 0.34 | 2022 |
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms. | 0 | 0.34 | 2021 |
LiBRe: A Practical Bayesian Approach to Adversarial Detection | 1 | 0.35 | 2021 |
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. | 0 | 0.34 | 2021 |
Improving Generative Moment Matching Networks With Distribution Partition | 0 | 0.34 | 2021 |
A robust personalized location recommendation based on ensemble learning | 0 | 0.34 | 2021 |
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. | 0 | 0.34 | 2021 |
Analyzing the Noise Robustness of Deep Neural Networks. | 4 | 0.39 | 2021 |
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. | 0 | 0.34 | 2021 |
Efficient Inference of Flexible Interaction in Spiking-neuron Networks | 0 | 0.34 | 2021 |
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. | 0 | 0.34 | 2021 |
Fork Or Fail: Cycle-Consistent Training With Many-To-One Mappings | 0 | 0.34 | 2021 |
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information | 0 | 0.34 | 2020 |
Benchmarking Adversarial Robustness on Image Classification | 7 | 0.52 | 2020 |
Efficient Learning of Generative Models via Finite-Difference Score Matching | 0 | 0.34 | 2020 |
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory | 0 | 0.34 | 2020 |
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models | 0 | 0.34 | 2020 |
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? | 0 | 0.34 | 2020 |
PopMNet: Generating structured pop music melodies using neural networks | 2 | 0.47 | 2020 |
Towards A New Generation Of Artificial Intelligence In China | 1 | 0.36 | 2020 |
Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019) | 0 | 0.34 | 2020 |
Function Space Particle Optimization for Bayesian Neural Networks. | 0 | 0.34 | 2019 |
Reward Shaping via Meta-Learning. | 1 | 0.35 | 2019 |
Efficient Decision-Based Black-Box Adversarial Attacks On Face Recognition | 10 | 0.50 | 2019 |
Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks | 4 | 0.39 | 2019 |
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. | 1 | 0.35 | 2019 |
DSL: Deep Self-Semi-Supervised Learning for Image Recognition. | 0 | 0.34 | 2019 |
Towards controllable image descriptions with semi-supervised VAE. | 0 | 0.34 | 2019 |
Adversarial Variational Inference and Learning in Markov Random Fields. | 0 | 0.34 | 2019 |
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. | 0 | 0.34 | 2019 |
Sparse Adversarial Perturbations for Videos. | 0 | 0.34 | 2019 |
Towards Robust Detection of Adversarial Examples | 5 | 0.40 | 2018 |
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. | 0 | 0.34 | 2018 |
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. | 0 | 0.34 | 2018 |
Max-Margin Deep Generative Models for (Semi-)Supervised Learning. | 4 | 0.40 | 2018 |
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems. | 0 | 0.34 | 2018 |
Selective Verification Strategy for Learning From Crowds. | 0 | 0.34 | 2018 |
Stochastic Training of Graph Convolutional Networks with Variance Reduction. | 22 | 0.75 | 2018 |
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process. | 3 | 0.40 | 2018 |