Papers
Fri 24 Dec 2021
82 papers
- Dynamic Channel Access via Meta-Reinforcement Learning
- An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
- State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing
- Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA
- Lane Change Decision-Making through Deep Reinforcement Learning
- Profile Guided Optimization without Profiles: A Machine Learning Approach
- Lyapunov Exponents for Diversity in Differentiable Games
- Raw Produce Quality Detection with Shifted Window Self-Attention
- BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch
- Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures
- Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform
- SoK: A Study of the Security on Voice Processing Systems
- GREED: A Neural Framework for Learning Graph Distance Functions
- Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields
- On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks
- Does MAML Only Work via Feature Re-use? A Data Centric Perspective
- The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence
- Application of Markov Structure of Genomes to Outlier Identification and Read Classification
- A Survey on Interpretable Reinforcement Learning
- Measuring Quality of DNA Sequence Data via Degradation
- Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors
- Accelerated and instance-optimal policy evaluation with linear function approximation
- Invertible Network for Unpaired Low-light Image Enhancement
- Fine-Tuning Data Structures for Analytical Query Processing
- Faster Rates for Compressed Federated Learning with Client-Variance Reduction
- SimViT: Exploring a Simple Vision Transformer with sliding windows
- Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection
- Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks
- Virtuoso: Video-based Intelligence for real-time tuning on SOCs
- CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
- Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
- Tri-Transformer Hawkes Process: Three Heads are better than one
- Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
- Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
- Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
- Grounding Linguistic Commands to Navigable Regions
- Gaussian Process Bandits with Aggregated Feedback
- DARTS without a Validation Set: Optimizing the Marginal Likelihood
- Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms
- Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)
- A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations
- Stochastic Learning Equation using Monotone Increasing Resolution of Quantization
- Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation
- US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis
- Total Energy Shaping with Neural Interconnection and Damping Assignment -- Passivity Based Control
- DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
- Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences
- Toeplitz Least Squares Problems, Fast Algorithms and Big Data
- Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
- Domain-Aware Continual Zero-Shot Learning
- iSeg3D: An Interactive 3D Shape Segmentation Tool
- Is Importance Weighting Incompatible with Interpolating Classifiers?
- DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
- Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects
- Parameter identifiability of a deep feedforward ReLU neural network
- Disentanglement by Cyclic Reconstruction
- Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
- SGTR: End-to-end Scene Graph Generation with Transformer
- Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia
- Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series
- Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces
- Machine Learning-based Efficient Ventricular Tachycardia Detection Model of ECG Signal
- Deep ensembles in bioimage segmentation
- Supraventricular Tachycardia Detection and Classification Model of ECG signal Using Machine Learning
- Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling
- Realtime Global Attention Network for Semantic Segmentation
- Counterfactual Memorization in Neural Language Models
- Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
- Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
- nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
- Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
- Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models
- Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
- Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
- Spoiler in a Textstack: How Much Can Transformers Help?
- TSAX is Trending
- Cluster-guided Image Synthesis with Unconditional Models
- Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives
- Optimal Variable Clustering for High-Dimensional Matrix Valued Data
- A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility
- A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification
- Rediscovering Affordance: A Reinforcement Learning Perspective