Papers
Thu 1 Apr 2021
204 papers
- Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical StudyKnowledge distillation → General knowledge distillation methods
- Neural Video Portrait Relighting in Real-time via Consistency ModelingDiffusion models → 3D, point cloud and scene generation
- Students are the Best Teacher: Exit-Ensemble Distillation with Multi-ExitsKnowledge distillation → General knowledge distillation methods
- Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual TestEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Unsupervised Domain Expansion for Visual CategorizationKnowledge distillation → General knowledge distillation methods
- Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene ClassificationKnowledge distillation → Detection and dense prediction distillation
- Reservoir Based Edge Training on RF Data To Deliver Intelligent and Efficient IoT Spectrum Sensors
- Replay in Deep Learning: Current Approaches and Missing Biological Elements
- An artificial intelligence and Internet of things based automated irrigation system
- Finding Experts in Social Media Data using a Hybrid Approach
- Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks
- Collaborative Learning to Generate Audio-Video Jointly
- Prediction of Solar Radiation Using Artificial Neural Network
- Learning from Noisy Labels via Dynamic Loss Thresholding
- Neurological Status Classification Using Convolutional Neural Network
- Quick Line Outage Identification in Urban Distribution Grids via Smart Meters
- Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
- Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows
- Combining conflicting ordinal quantum evidences utilizing individual reliability
- Deep Learning of Conjugate Mappings
- Visualizing computation in large-scale cellular automata
- CURIE: An Iterative Querying Approach for Reasoning About Situations
- Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
- A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
- Memorability: An image-computable measure of information utility
- Choice-Aware User Engagement Modeling andOptimization on Social Media
- FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds
- No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
- Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
- Do RNN States Encode Abstract Phonological Processes?
- The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study
- Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
- "TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation
- Collision-Aware Target-Driven Object Grasping in Constrained Environments
- MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation
- Low-Resource Language Modelling of South African Languages
- Keyword Transformer: A Self-Attention Model for Keyword Spotting
- Canonical and Surface Morphological Segmentation for Nguni Languages
- Configurable Privacy-Preserving Automatic Speech Recognition
- Coalitional strategies for efficient individual prediction explanation
- SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis
- Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication
- Reservoir-Based Distributed Machine Learning for Edge Operation
- Anytime Dense Prediction with Confidence Adaptivity
- Drug Discovery Approaches using Quantum Machine Learning
- Towards General Purpose Vision Systems
- Confidence Calibration for Domain Generalization under Covariate Shift
- Formal Methods for the Informal Engineer: Workshop Recommendations
- Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications
- Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
- Out of a hundred trials, how many errors does your speaker verifier make?
- GABO: Graph Augmentations with Bi-level Optimization
- ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
- BRepNet: A topological message passing system for solid models
- Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling
- Remote Sensing Image Classification with the SEN12MS Dataset
- NPMs: Neural Parametric Models for 3D Deformable Shapes
- Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search
- SimPoE: Simulated Character Control for 3D Human Pose Estimation
- Multiview Pseudo-Labeling for Semi-supervised Learning from Video
- NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
- LoFTR: Detector-Free Local Feature Matching with Transformers
- A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
- Group-Free 3D Object Detection via Transformers
- Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
- In&Out : Diverse Image Outpainting via GAN Inversion
- PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
- Cross-validation: what does it estimate and how well does it do it?
- TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields
- Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
- Sampling and Filtering of Neural Machine Translation Distillation Data
- Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management
- Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
- Motion Guided Attention Fusion to Recognize Interactions from Videos
- Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic
- AmbiFC: Fact-Checking Ambiguous Claims with Evidence
- HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
- Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
- RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
- Residual Model Learning for Microrobot Control
- Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
- Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
- RGB-D Local Implicit Function for Depth Completion of Transparent Objects
- Modular Adaptation for Cross-Domain Few-Shot Learning
- Composable Augmentation Encoding for Video Representation Learning
- Physics-informed neural networks for the shallow-water equations on the sphere
- The surprising impact of mask-head architecture on novel class segmentation
- Model Selection's Disparate Impact in Real-World Deep Learning Applications
- One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
- NeRF-VAE: A Geometry Aware 3D Scene Generative Model
- Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
- LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
- Text to Image Generation with Semantic-Spatial Aware GAN
- Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
- A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior
- Mining Wikidata for Name Resources for African Languages
- Deep Two-View Structure-from-Motion Revisited
- fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation
- NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
All 204
- Machine Learning Applications to Kronian Magnetospheric Reconnection Classification
- A Joint Network for Grasp Detection Conditioned on Natural Language Commands
- PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
- Bayesian Graph Convolutional Network for Traffic Prediction
- Linear Semantics in Generative Adversarial Networks
- Learning Foreground-Background Segmentation from Improved Layered GANs
- Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
- Towards creativity characterization of generative models via group-based subset scanning
- Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
- Improving Calibration for Long-Tailed Recognition
- Improved Image Generation via Sparse Modeling
- SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
- Learning Rates for Multi-task Regularization Networks
- Semantic XAI for contextualized demand forecasting explanations
- Towards Evaluating and Training Verifiably Robust Neural Networks
- Touch-based Curiosity for Sparse-Reward Tasks
- Anchor Pruning for Object Detection
- Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks
- Latent Space Data Assimilation by using Deep Learning
- Storchastic: A Framework for General Stochastic Automatic Differentiation
- WakaVT: A Sequential Variational Transformer for Waka Generation
- High-dimensional distributed semantic spaces for utterances
- Unsupervised Degradation Representation Learning for Blind Super-Resolution
- Learning with Neural Tangent Kernels in Near Input Sparsity Time
- Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
- quantum Case-Based Reasoning (qCBR)
- Avalanche: an End-to-End Library for Continual Learning
- Target Transformed Regression for Accurate Tracking
- Distributed support-vector-machine over dynamic balanced directed networks
- Commonsense Spatial Reasoning for Visually Intelligent Agents
- Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
- Online Multiple Object Tracking with Cross-Task Synergy
- FeTaQA: Free-form Table Question Answering
- Low-Resource Neural Machine Translation for Southern African Languages
- Federated Few-Shot Learning with Adversarial Learning
- Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs
- Efficient and Differentiable Shadow Computation for Inverse Problems
- Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
- Exploiting Relationship for Complex-scene Image Generation
- Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
- CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN
- Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
- TrajeVAE: Controllable Human Motion Generation from Trajectories
- SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
- Reconstructing 3D Human Pose by Watching Humans in the Mirror
- Wide-Depth-Range 6D Object Pose Estimation in Space
- Mitigating Media Bias through Neutral Article Generation
- UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
- On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
- Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
- High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
- STMTrack: Template-free Visual Tracking with Space-time Memory Networks
- Jigsaw Clustering for Unsupervised Visual Representation Learning
- Domain Invariant Adversarial Learning
- Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
- Explore Image Deblurring via Blur Kernel Space
- Unsupervised Sound Localization via Iterative Contrastive Learning
- Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction
- Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
- Modeling High-order Interactions across Multi-interests for Micro-video Recommendation
- MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
- EfficientNetV2: Smaller Models and Faster Training
- Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
- Many-to-English Machine Translation Tools, Data, and Pretrained Models
- Learning to Track Instances without Video Annotations
- CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning
- A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions
- Mesh Graphormer
- Evaluating Neural Word Embeddings for Sanskrit
- The Compact Support Neural Network
- Detecting over/under-translation errors for determining adequacy in human translations
- Pinpointing the Memory Behaviors of DNN Training
- Using Python for Model Inference in Deep Learning
- Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing
- LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
- Divergence Optimization for Noisy Universal Domain Adaptation
- High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
- Variational Inference MPC using Tsallis Divergence
- Self-supervised Motion Learning from Static Images
- Positive Sample Propagation along the Audio-Visual Event Line
- Optimizer Fusion: Efficient Training with Better Locality and Parallelism
- Multilingual and code-switching ASR challenges for low resource Indian languages
- A Survey on Natural Language Video Localization
- Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
- Two-phase weakly supervised object detection with pseudo ground truth mining
- DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
- Fast Jacobian-Vector Product for Deep Networks
- Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
- Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
- Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation
- AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection
- Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
- Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
- Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study
- TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking
- An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
- Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach
- Sub-GMN: The Neural Subgraph Matching Network Model
- Less is More: Accelerating Faster Neural Networks Straight from JPEG
- Selective Feature Compression for Efficient Activity Recognition Inference
- Visual Attention in Imaginative Agents
- Self-harm: detection and support on Twitter
- Are Bias Mitigation Techniques for Deep Learning Effective?
- Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles