Papers
Tue 30 Nov 2021
217 papers
- Representation learning through cross-modal conditional teacher-student training for speech emotion recognitionKnowledge distillation → Multimodal distillation
- Show Your Work: Scratchpads for Intermediate Computation with Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Task2Sim : Towards Effective Pre-training and Transfer from Synthetic DataSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationDiffusion models → Diffusion foundations and sampling
- Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content
- NLP Techniques for Water Quality Analysis in Social Media Content
- On reducing the order of arm-passes bandit streaming algorithms under memory bottleneck
- Refined Commonsense Knowledge from Large-Scale Web Contents
- Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data
- Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction
- Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
- Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma
- Flood Analytics Information System (FAIS) Version 4.00 Manual
- Hierarchical clustering: visualization, feature importance and model selection
- TinyML Platforms Benchmarking
- Machine Learning for Air Transport Planning and Management
- How to quantify fields or textures? A guide to the scattering transform
- RawArray: A Simple, Fast, and Extensible Archival Format for Numeric Data
- Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Grasp
- HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space
- Finding, Scoring and Explaining Arguments in Bayesian Networks
- Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance
- An implementation of the "Guess who?" game using CLIP
- Light Field Implicit Representation for Flexible Resolution Reconstruction
- Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
- SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
- A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
- Adaptive Optimization with Examplewise Gradients
- Improving Differentiable Architecture Search with a Generative Model
- 3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
- Event-Based Fusion for Motion Deblurring with Cross-modal Attention
- TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
- Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text
- A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing
- Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
- PokeBNN: A Binary Pursuit of Lightweight Accuracy
- CovidAlert -- A Wristwatch-based System to Alert Users from Face Touching
- Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
- Beyond Flatland: Pre-training with a Strong 3D Inductive Bias
- Fast Topological Clustering with Wasserstein Distance
- Leveraging Intrinsic Gradient Information for Further Training of Differentiable Machine Learning Models
- Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
- A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs
- What to Learn, and How: Toward Effective Learning from Rationales
- Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
- Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
- Pattern-Aware Data Augmentation for LiDAR 3D Object Detection
- Robust and Provably Monotonic Networks
- Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
- Learning knot invariants across dimensions
- Predicting Poverty Level from Satellite Imagery using Deep Neural Networks
- Sound-Guided Semantic Image Manipulation
- Towards algorithm-free physical equilibrium model of computing
- Unsupervised Domain Adaptation: A Reality Check
- 360MonoDepth: High-Resolution 360deg Monocular Depth Estimation
- AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
- Adaptive Token Sampling For Efficient Vision Transformers
- HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
- OCR-free Document Understanding Transformer
- Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
- Studying Hadronization by Machine Learning Techniques
- Leveraging The Topological Consistencies of Learning in Deep Neural Networks
- The Exponentially Tilted Gaussian Prior for Variational Autoencoders
- Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
- Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
- Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
- Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
- Semi-Local Convolutions for LiDAR Scan Processing
- The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks
- The Power of Communication in a Distributed Multi-Agent System
- Robust Partial-to-Partial Point Cloud Registration in a Full Range
- Synthetic weather radar using hybrid quantum-classical machine learning
- Human Imperceptible Attacks and Applications to Improve Fairness
- Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model
- MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
- Automated Damage Inspection of Power Transmission Towers from UAV Images
- An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
- Low-light Image Enhancement via Breaking Down the Darkness
- NeuSample: Neural Sample Field for Efficient View Synthesis
- Black-box tests for algorithmic stability
- Model-Free μ Synthesis via Adversarial Reinforcement Learning
- Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
- RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
- What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
- ESL: Event-based Structured Light
- Regularized directional representations for medical image registration
- Towards a comprehensive visualization of structure in data
- Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
- Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm
- PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
- FENeRF: Face Editing in Neural Radiance Fields
- FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
- Playing Ping Pong with Light: Directional Emission of White Light
- ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
- Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
- Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
- Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
- On the Generalization of Agricultural Drought Classification from Climate Data
- Large-Scale Video Analytics through Object-Level Consolidation
All 217
- The Effect of Iterativity on Adversarial Opinion Forming
- FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks
- KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
- TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios
- Binary Independent Component Analysis: A Non-stationarity-based Approach
- The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
- Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
- Hierarchical Prototype Networks for Continual Graph Representation Learning
- Undecidability in Finite Transducers, Defense Systems and Finite Substitutions
- A Comparative Study of Transformers on Word Sense Disambiguation
- Worst-Case Morphs: a Theoretical and a Practical Approach
- Neuron with Steady Response Leads to Better Generalization
- Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
- Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
- Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
- CT-block: a novel local and global features extractor for point cloud
- Continuous Control With Ensemble Deep Deterministic Policy Gradients
- Text classification problems via BERT embedding method and graph convolutional neural network
- Reconstruction Student with Attention for Student-Teacher Pyramid Matching
- ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
- Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
- Material Classification Using Active Temperature Controllable Robotic Gripper
- ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
- MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
- The signature and cusp geometry of hyperbolic knots
- Challenges in Developing LRs for Non-Scheduled Languages: A Case of Magahi
- Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest
- DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes
- AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
- Deep Auto-encoder with Neural Response
- TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
- Generating Rich Product Descriptions for Conversational E-commerce Systems
- On the challenges of using D-Wave computers to sample Boltzmann Random Variables
- Revisiting Temporal Alignment for Video Restoration
- Bilingual Topic Models for Comparable Corpora
- Emotions as abstract evaluation criteria in biological and artificial intelligences
- Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
- Towards automatic identification of linguistic politeness in Hindi texts
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation
- EdiBERT, a generative model for image editing
- Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
- DeepAL: Deep Active Learning in Python
- ARTSeg: Employing Attention for Thermal images Semantic Segmentation
- Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks
- Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making
- Hallucinated Neural Radiance Fields in the Wild
- ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
- NeRFReN: Neural Radiance Fields with Reflections
- Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
- Using a GAN to Generate Adversarial Examples to Facial Image Recognition
- Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
- HRNET: AI on Edge for mask detection and social distancing
- NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
- Benchmark Static API Call Datasets for Malware Family Classification
- Contrastive Learning for Local and Global Learning MRI Reconstruction
- Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation
- PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks
- Shunted Self-Attention via Multi-Scale Token Aggregation
- PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
- HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials
- Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
- SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution
- Easy Semantification of Bioassays
- Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
- A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
- Sparse deep computer-generated holography for optical microscopy
- Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
- CRIS: CLIP-Driven Referring Image Segmentation
- Generative Convolution Layer for Image Generation
- Improvement in Machine Translation with Generative Adversarial Networks
- CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter
- Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
- CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
- A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks
- MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
- Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
- gCastle: A Python Toolbox for Causal Discovery
- AirObject: A Temporally Evolving Graph Embedding for Object Identification
- Molecular Attributes Transfer from Non-Parallel Data
- Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks
- HEAT: Holistic Edge Attention Transformer for Structured Reconstruction
- Path Integral Sampler: a stochastic control approach for sampling
- Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
- Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
- Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
- LossPlot: A Better Way to Visualize Loss Landscapes
- Anonymization for Skeleton Action Recognition
- A Unified Pruning Framework for Vision Transformers
- In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
- Pyramid Adversarial Training Improves ViT Performance
- Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
- ePose: Let's Make EfficientPose More Generally Applicable
- LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
- AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
- Automatic tracing of mandibular canal pathways using deep learning
- Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making
- MAPLE: Microprocessor A Priori for Latency Estimation
- A novel data-driven algorithm to predict anomalous prescription based on patient's feature set
- Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees
- EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
- Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
- The Geometric Occam's Razor Implicit in Deep Learning
- MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
- SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification
- SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
- Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework
- Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
- Communication-Efficient Federated Learning via Quantized Compressed Sensing
- Hole-robust Wireframe Detection
- Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis
- Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
- AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
- Adaptive Gating for Single-Photon 3D Imaging
- Online Learning for Predictive Control with Provable Regret Guarantees
- X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
- CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data