Papers
Tue 19 Apr 2022
164 papers
- Indiscriminate Data Poisoning Attacks on Neural NetworksLLM safety and security → Backdoor and data poisoning attacks
- RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning TechnologyLLM reasoning → Reasoning benchmarks and evaluation
- Modeling Missing Annotations for Incremental Learning in Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionKnowledge distillation → General knowledge distillation methods
- Table-based Fact Verification with Self-adaptive Mixture of ExpertsMixture-of-experts → MoE large language models
- DiffMD: A Geometric Diffusion Model for Molecular Dynamics SimulationsDiffusion models → Flow matching, time series and science
- Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach
- Learning Enriched Features for Fast Image Restoration and Enhancement
- Sharing and Caring: Creating a Culture of Constructive Criticism in Computational Legal Studies
- Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
- Network Topology Optimization via Deep Reinforcement Learning
- On the Dynamics of Inference and Learning
- Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
- Multimodal Hate Speech Detection from Bengali Memes and Texts
- Social Media Sentiment Analysis for Cryptocurrency Market Prediction
- Scale Dependencies and Self-Similar Models with Wavelet Scattering Spectra
- Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays
- Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil
- A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
- Restructuring TCAD System: Teaching Traditional TCAD New Tricks
- Energy-Efficient Tree-Based EEG Artifact Detection
- ROI: A method for identifying organizations receiving personal data
- Generating 3D Molecules for Target Protein Binding
- Performance Evaluation of Action Recognition Models on Low Quality Videos
- Computational Adaptation of XR Interfaces Through Interaction Simulation
- Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
- Approximating Persistent Homology for Large Datasets
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
- What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
- ALBETO and DistilBETO: Lightweight Spanish Language Models
- Multi-hop Question Answering
- RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
- Diverse Imagenet Models Transfer Better
- GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
- Importance is in your attention: agent importance prediction for autonomous driving
- A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization
- From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
- Sintel: A Machine Learning Framework to Extract Insights from Signals
- An improved central limit theorem and fast convergence rates for entropic transportation costs
- PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages
- Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention
- 4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks
- Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
- Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
- Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion
- Photometric single-view dense 3D reconstruction in endoscopy
- Factors that influence the adoption of human-AI collaboration in clinical decision-making
- Named Entity Recognition for Partially Annotated Datasets
- AutoField: Automating Feature Selection in Deep Recommender Systems
- Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network
- Embodied Navigation at the Art Gallery
- Sampling Strategies for Static Powergrid Models
- House Price Prediction Based On Deep Learning
- Accelerating Inhibitor Discovery With A Deep Generative Foundation Model: Validation for SARS-CoV-2 Drug Targets
- Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
- A stochastic Stein Variational Newton method
- On the Locality of Attention in Direct Speech Translation
- Dual-Domain Image Synthesis using Segmentation-Guided GAN
- A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
- CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis
- Real-Time Face Recognition System
- Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking
- Detecting Text Formality: A Study of Text Classification Approaches
- A comparison of different atmospheric turbulence simulation methods for image restoration
- Shallow camera pipeline for night photography rendering
- Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
- When Is Partially Observable Reinforcement Learning Not Scary?
- Building Odia Shallow Parser
- MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
- COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
- Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
- Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies
- Missingness Bias in Model Debugging
- CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex
- Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
- Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation
- Global-and-Local Collaborative Learning for Co-Salient Object Detection
- Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
- Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing
- Towards Efficient Single Image Dehazing and Desnowing
- Model Checking Strategic Abilities in Information-sharing Systems
- Invertible Mask Network for Face Privacy-Preserving
- GestureLens: Visual Analysis of Gestures in Presentation Videos
- A survey on improving NLP models with human explanations
- Cross-Lingual Phrase Retrieval
- Antipatterns in Software Classification Taxonomies
- ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
- Less than Few: Self-Shot Video Instance Segmentation
- OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching
- On the Influence of Explainable AI on Automation Bias
- Core Box Image Recognition and its Improvement with a New Augmentation Technique
- I still have Time(s): Extending HeidelTime for German Texts
- Compressed Empirical Measures (in finite dimensions)
- Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
- Rumor Detection with Self-supervised Learning on Texts and Social Graph
- System Analysis for Responsible Design of Modern AI/ML Systems
- Impact of Tokenization on Language Models: An Analysis for Turkish
- Probing for the Usage of Grammatical Number
- Detect-and-describe: Joint learning framework for detection and description of objects
All 164
- Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
- A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization
- An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
- Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
- UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment Metrics
- SmartSales: Sales Script Extraction and Analysis from Sales Chatlog
- Making Progress Based on False Discoveries
- SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
- Understanding Toxicity Triggers on Reddit in the Context of Singapore
- An Energy-Based Prior for Generative Saliency
- Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation
- A qualitative investigation of optical flow algorithms for video denoising
- ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
- Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
- LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
- Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
- IndicXNLI: Evaluating Multilingual Inference for Indian Languages
- EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
- GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
- Binary Multi Channel Morphological Neural Network
- Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
- Dynamic Point Cloud Denoising via Gradient Fields
- Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition
- Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models
- Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity
- Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
- Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks
- Multimodal Token Fusion for Vision Transformers
- Shape-Aware Monocular 3D Object Detection
- NAFSSR: Stereo Image Super-Resolution Using NAFNet
- Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing
- Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review
- CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
- A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)
- Independence Testing for Bounded Degree Bayesian Network
- Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
- DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
- Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction
- Imbalanced Classification via a Tabular Translation GAN
- Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning
- Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
- ActAR: Actor-Driven Pose Embeddings for Video Action Recognition
- Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi
- Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction
- Interaction-Aware Labeled Multi-Bernoulli Filter
- On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
- LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
- Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
- Label Efficient Regularization and Propagation for Graph Node Classification
- Artificial Intelligence for Imaging Cherenkov Detectors at the EIC
- Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion
- Example-based Synthesis of Static Analysis Rules
- Quaternion Optimized Model with Sparse Regularization for Color Image Recovery
- Topology and geometry of data manifold in deep learning
- CorrGAN: Input Transformation Technique Against Natural Corruptions
- Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs
- Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing
- Poisons that are learned faster are more effective
- Self-Supervised Equivariant Learning for Oriented Keypoint Detection
- Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors
- Image Data Augmentation for Deep Learning: A Survey
- "Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
- G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training
- A Tour of Visualization Techniques for Computer Vision Datasets