Papers
Sat 25 Jun 2022
84 papers
- The Efficient Market Hypothesis for Bitcoin in the context of neural networks
- Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
- Aligning Artificial Intelligence with Humans through Public Policy
- Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime
- Correction Algorithm of Sampling Effect and Its Application
- AGENT: An Adaptive Grouping Entrapping Method of Flocking Systems
- A Theoretical Computer Science Perspective on Free Will
- Functional Optimization Reinforcement Learning for Real-Time Bidding
- Data Augmentation techniques in time series domain: A survey and taxonomy
- Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
- Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
- Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
- HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
- Modeling Oceanic Variables with Dynamic Graph Neural Networks
- Sequential image recovery using joint hierarchical Bayesian learning
- Multi Visual Modality Fall Detection Dataset
- On how to avoid exacerbating spurious correlations when models are overparameterized
- Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes
- Cascading Failures in Smart Grids under Random, Targeted and Adaptive Attacks
- Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
- Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
- Defending Multimodal Fusion Models against Single-Source Adversaries
- Protoformer: Embedding Prototypes for Transformers
- Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
- Binary and Multinomial Classification through Evolutionary Symbolic Regression
- p-Meta: Towards On-device Deep Model Adaptation
- Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
- The Bandwagon Effect: Not Just Another Bias
- Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation
- RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
- TEVR: Improving Speech Recognition by Token Entropy Variance Reduction
- Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
- Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising
- Minority Report: A Graph Network Oracle for In Situ Visualization
- UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images
- Topology-aware Generalization of Decentralized SGD
- Learning to Infer 3D Shape Programs with Differentiable Renderer
- Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
- SKTR: Trace Recovery from Stochastically Known Logs
- Evaluation of Semantic Answer Similarity Metrics
- Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
- Synthesizing Personalized Non-speech Vocalization from Discrete Speech Representations
- Enhanced Deep Animation Video Interpolation
- BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
- Diagnostic Communication and Visual System based on Vehicle UDS Protocol
- Review on Social Behavior Analysis of Laboratory Animals: From Methodologies to Applications
- Machine Learning-based Biological Ageing Estimation Technologies: A Survey
- Sentiment Analysis with R: Natural Language Processing for Semi-Automated Assessments of Qualitative Data
- BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
- Distilling a Pretrained Language Model to a Multilingual ASR Model
- SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection
- Multi-Variate Time Series Forecasting on Variable Subsets
- Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread
- Inverted Semantic-Index for Image Retrieval
- SAT: Self-adaptive training for fashion compatibility prediction
- Language Models as Knowledge Embeddings
- BokehMe: When Neural Rendering Meets Classical Rendering
- Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions
- Adversarial Self-Attention for Language Understanding
- Mitigating sampling bias in risk-based active learning via an EM algorithm
- Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning
- Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
- RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
- CV 3315 Is All You Need : Semantic Segmentation Competition
- Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
- Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction
- Construct a Sentence with Multiple Specified Words
- Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms
- PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
- Self-supervised Context-aware Style Representation for Expressive Speech Synthesis
- FastBVP-Net: a lightweight pulse extraction network for measuring heart rhythm via facial videos
- Graph Component Contrastive Learning for Concept Relatedness Estimation
- Integrating Machine Learning with Discrete Event Simulation for Improving Health Referral Processing in a Care Management Setting
- Geometry Contrastive Learning on Heterogeneous Graphs
- A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
- Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
- Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
- SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
- From Shallow to Deep: Compositional Reasoning over Graphs for Visual Question Answering
- Causal Ordering Without Effect Estimation: A Framework for Using Proxies in Treatment Prioritization
- Probing Causes of Hallucinations in Neural Machine Translations
- Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks
- Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids
- Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks