Papers
Mon 19 Sep 2022
185 papers
- Gesture2Path: Imitation Learning for Gesture-aware NavigationOffline RL and imitation learning from data → Social robot navigation
- Comparative Study of Q-Learning and NeuroEvolution of Augmenting Topologies for Self Driving AgentsEnd-to-end autonomous driving → Reinforcement learning for driving
- Latent Plans for Task-Agnostic Offline Reinforcement LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Effective Adaptation in Multi-Task Co-Training for Unified Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
- Exploiting Cultural Biases via Homoglyphs in Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic ModelsDiffusion models → Image generation, text-to-image and editing
- CATER: Intellectual Property Protection on Text Generation APIs via Conditional WatermarksLLM safety and security → Watermarking generated content and models
- Knowledge-based Analogical Reasoning in Neuro-symbolic Latent SpacesLLM reasoning → Reasoning benchmarks and evaluation
- Learning To Rank Diversely At Airbnb
- Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation
- Joint Reconstruction and Parcellation of Cortical Surfaces
- Dynamic Unicast-Multicast Scheduling for Age-Optimal Information Dissemination in Vehicular Networks
- Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition
- On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
- Adversarial Catoptric Light: An Effective, Stealthy and Robust Physical-World Attack to DNNs
- Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison
- T3VIP: Transformation-based 3D Video Prediction
- Meteorological Satellite Images Prediction Based on Deep Multi-scales Extrapolation Fusion
- A Trio-Method for Retinal Vessel Segmentation using Image Processing
- U-Sleep's resilience to AASM guidelines
- Fault Detection in Ball Bearings
- Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle
- On the benefits of self-taught learning for brain decoding
- NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
- Documenting use cases in the affective computing domain using Unified Modeling Language
- Autonomous Visual Navigation A Biologically Inspired Approach
- Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
- Adversarial Color Projection: A Projector-based Physical Attack to DNNs
- A Multi-Layer Regression based Predicable Function Fitting Network
- Provably Uncertainty-Guided Universal Domain Adaptation
- State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
- LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
- Distributed representations of graphs for drug pair scoring
- Topological data analysis on noisy quantum computers
- The first neural machine translation system for the Erzya language
- Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions
- E-VFIA : Event-Based Video Frame Interpolation with Attention
- Development of a Modular and Submersible Soft Robotic Arm and Corresponding Learned Kinematics Models
- Space-time tradeoffs of lenses and optics via higher category theory
- Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
- Visible-Infrared Person Re-Identification Using Privileged Intermediate Information
- Understanding reinforcement learned crowds
- A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
- Revisiting Embeddings for Graph Neural Networks
- Training an Assassin AI for The Resistance: Avalon
- MAN: Multi-Action Networks Learning
- Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
- Deep Linear Networks can Benignly Overfit when Shallow Ones Do
- The Ability of Image-Language Explainable Models to Resemble Domain Expertise
- Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
- Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
- Machine Learning Class Numbers of Real Quadratic Fields
- Weak-signal extraction enabled by deep-neural-network denoising of diffraction data
- Mapping Climate Change Research via Open Repositories & AI: advantages and limitations for an evidence-based R&D policy-making
- Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
- Flexible Neural Image Compression via Code Editing
- Real-time Online Video Detection with Temporal Smoothing Transformers
- Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
- Learning a Single Near-hover Position Controller for Vastly Different Quadcopters
- 3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
- TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
- Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data
- Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
- Robust leave-one-out cross-validation for high-dimensional Bayesian models
- Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits
- ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
- Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
- Application of Neural Network in the Prediction of NOx Emissions from Degrading Gas Turbine
- On the Theoretical Properties of Noise Correlation in Stochastic Optimization
- RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
- Physics-Constrained Neural Network for Design and Feature-Based Optimization of Weave Architectures
- Semantic-based Pre-training for Dialogue Understanding
- "Guess what I'm doing": Extending legibility to sequential decision tasks
- Machine Learning based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study
- SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
- A Closer Look at Novel Class Discovery from the Labeled Set
- DeePhy: On Deepfake Phylogeny
- Computing Anti-Derivatives using Deep Neural Networks
- The GenCol algorithm for high-dimensional optimal transport: general formulation and application to barycenters and Wasserstein splines
- MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
- NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder
- SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
- Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention
- Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming
- Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications
- Deep Metric Learning with Chance Constraints
- Measuring Interventional Robustness in Reinforcement Learning
- Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
- Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
- Structure-Aware 3D VR Sketch to 3D Shape Retrieval
- Fairness in Face Presentation Attack Detection
- ALEXSIS-PT: A New Resource for Portuguese Lexical Simplification
- A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
- A cost-based multi-layer network approach for the discovery of patient phenotypes
- SMIXS: Novel efficient algorithm for non-parametric mixture regression-based clustering
- BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction
- RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network
- A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
- The Royalflush System for VoxCeleb Speaker Recognition Challenge 2022
All 185
- Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control
- EcoFormer: Energy-Saving Attention with Linear Complexity
- MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
- EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
- MSA-GCN:Multiscale Adaptive Graph Convolution Network for Gait Emotion Recognition
- An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images
- How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?
- Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction
- Panoramic Vision Transformer for Saliency Detection in 360deg Videos
- Generalization Bounds for Stochastic Gradient Descent via Localized varepsilon-Covers
- A novel approach for wafer defect pattern classification based on topological data analysis
- 3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation
- Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud
- Estimating Brain Age with Global and Local Dependencies
- HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting
- UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
- HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking
- Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark
- Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
- A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models
- Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
- Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
- Batch Layer Normalization, A new normalization layer for CNNs and RNN
- NeuralMarker: A Framework for Learning General Marker Correspondence
- An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
- Attentive Symmetric Autoencoder for Brain MRI Segmentation
- Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand
- Gradient Norm Minimization of Nesterov Acceleration: o(1/k3)
- A Survey of Deep Causal Models and Their Industrial Applications
- Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
- Deep Fusion of Multi-Object Densities Using Transformer
- Masked Face Inpainting Through Residual Attention UNet
- Two-stage Modeling for Prediction with Confidence
- A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View
- Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
- NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries
- A Snapshot into the Possibility of Video Game Machine Translation
- LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation
- LMBAO: A Landmark Map for Bundle Adjustment Odometry in LiDAR SLAM
- A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction
- Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants
- Sequence-to-Set Generative Models
- Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks
- AutoLV: Automatic Lecture Video Generator
- DifferSketching: How Differently Do People Sketch 3D Objects?
- D&D: Learning Human Dynamics from Dynamic Camera
- Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation
- Neural-Symbolic Entangled Framework for Complex Query Answering
- NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
- Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance
- TANDEM3D: Active Tactile Exploration for 3D Object Recognition
- S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification
- Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs
- Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs
- Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models
- Fairness on Synthetic Visual and Thermal Mask Images
- Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising
- Toward Understanding Privileged Features Distillation in Learning-to-Rank
- Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
- On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation
- Importance Tempering: Group Robustness for Overparameterized Models
- AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
- Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
- Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
- Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
- Heterogeneous Federated Learning on a Graph
- Traffic incident duration prediction via a deep learning framework for text description encoding
- Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
- Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood
- Axially Expanded Windows for Local-Global Interaction in Vision Transformers
- Neural Wavelet-domain Diffusion for 3D Shape Generation
- On the Adversarial Transferability of ConvMixer Models
- Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition
- Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
- Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
- GLARE: A Dataset for Traffic Sign Detection in Sun Glare
- BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
- Autoregressive Entity Generation for End-to-End Task-Oriented Dialog
- An Adaptive Threshold for the Canny Edge Detection with Actor-Critic Algorithm
- LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation
- Quantifying How Hateful Communities Radicalize Online Users
- MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain
- Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search
- Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification
- Meta-simulation for the Automated Design of Synthetic Overhead Imagery