Papers
Wed 21 Sep 2022
188 papers
- Hierarchical Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GANDiffusion models → Audio, speech and music
- USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Toward 3D Spatial Reasoning for Human-like Text-based Visual Question AnsweringLLM reasoning → Spatial and embodied reasoning
- Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth ManipulationOffline RL and imitation learning from data → Imitation learning methods
- ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Artificial Intelligence and Innovation to Reduce the Impact of Extreme Weather Events on Sustainable Production
- Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent
- Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
- Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks
- FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
- Shape And Structure Preserving Differential Privacy
- Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data
- Taking the Intentional Stance Seriously, or "Intending" to Improve Cognitive Systems
- Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics
- Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm
- Rate-Distortion in Image Coding for Machines
- An Overview of Violence Detection Techniques: Current Challenges and Future Directions
- 3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation
- SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
- Deep Learning on Home Drone: Searching for the Optimal Architecture
- Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning
- Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval
- A data-driven interpretation of the stability of molecular crystals
- Gaussian Process Hydrodynamics
- Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
- SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
- Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
- Stochastic Future Prediction in Real World Driving Scenarios
- PREF: Predictability Regularized Neural Motion Fields
- Attention Beats Concatenation for Conditioning Neural Fields
- NashAE: Disentangling Representations through Adversarial Covariance Minimization
- A Validation Approach to Over-parameterized Matrix and Image Recovery
- Modeling Perceptual Loudness of Piano Tone: Theory and Applications
- Adaptive Bias Correction for Improved Subseasonal Forecasting
- Modelling the Frequency of Home Deliveries: An Induced Travel Demand Contribution of Aggrandized E-shopping in Toronto during COVID-19 Pandemics
- Convolutional Bayesian Kernel Inference for 3D Semantic Mapping
- Contrastive Learning for Time Series on Dynamic Graphs
- Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
- Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions
- Mega: Moving Average Equipped Gated Attention
- Toy Models of Superposition
- Automated segmentation of intracranial hemorrhages from 3D CT
- Benchmarking Apache Spark and Hadoop MapReduce on Big Data Classification
- Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
- Neural Generalized Ordinary Differential Equations with Layer-varying Parameters
- An Image Processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal Solar Observatory
- Seen to Unseen: When Fuzzy Inference System Predicts IoT Device Positioning Labels That Had Not Appeared in Training Phase
- SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping
- DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems
- GNPM: Geometric-Aware Neural Parametric Models
- Learning-Augmented Algorithms for Online Linear and Semidefinite Programming
- Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora
- Current and Near-Term AI as a Potential Existential Risk Factor
- Assessing ASR Model Quality on Disordered Speech using BERTScore
- DeepVARwT: Deep Learning for a VAR Model with Trend
- Grape Cold Hardiness Prediction via Multi-Task Learning
- Continuous Mixtures of Tractable Probabilistic Models
- Representing Affect Information in Word Embeddings
- First-order Policy Optimization for Robust Markov Decision Process
- Algorithm-Agnostic Interpretations for Clustering
- SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
- Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT
- FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization
- Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles
- Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
- Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
- Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion
- Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation
- Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation
- Gemino: Practical and Robust Neural Compression for Video Conferencing
- Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
- Animating Still Images
- Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations
- Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
- Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data
- Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
- SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese
- Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
- Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
- Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling
- Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
- Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
- Model-Free Reinforcement Learning for Asset Allocation
- Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model
- Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
- Off-Policy Risk Assessment in Markov Decision Processes
- A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
- A Measure of the Complexity of Neural Representations based on Partial Information Decomposition
- An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization
- Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis
- Approximate sampling and estimation of partition functions using neural networks
- Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network
- GP-net: Flexible Viewpoint Grasp Proposal
- IoU-Enhanced Attention for End-to-End Task Specific Object Detection
- Long-Lived Accurate Keypoints in Event Streams
- Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
- DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions
- Incremental Updates of Generalized Hypertree Decompositions
- WeLM: A Well-Read Pre-trained Language Model for Chinese
All 188
- Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems
- SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
- MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
- Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
- On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
- Partially Observable Markov Decision Processes in Robotics: A Survey
- LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
- FNeVR: Neural Volume Rendering for Face Animation
- Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
- Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding
- SDA-xNet: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation
- Continual VQA for Disaster Response Systems
- Controller Synthesis for Timeline-based Games
- Rethinking the compositionality of point clouds through regularization in the hyperbolic space
- Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise
- Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems
- Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
- KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
- I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
- Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
- Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction
- Tree Methods for Hierarchical Classification in Parallel
- AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization
- Periodic Extrapolative Generalisation in Neural Networks
- Learning Hierarchical Metrical Structure Beyond Measures
- T5QL: Taming language models for SQL generation
- Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
- BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo
- Fingerprinting Robot Movements via Acoustic Side Channel
- Intelligent wayfinding vehicle design based on visual recognition
- Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks
- Fairness Reprogramming
- HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification
- Kernel-Based Generalized Median Computation for Consensus Learning
- Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning
- Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
- Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
- Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
- Implicit Conversion of Manifold B-Rep Solids by Neural Halfspace Representation
- On the convex formulations of robust Markov decision processes
- D-InLoc++: Indoor Localization in Dynamic Environments
- Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China
- Reconstructing Robot Operations via Radio-Frequency Side-Channel
- Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes
- Large-Sample Properties of Non-Stationary Source Separation for Gaussian Signals
- Learning Reconstructability for Drone Aerial Path Planning
- LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code Manipulation
- FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference
- Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
- HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images
- Chaotic Hedging with Iterated Integrals and Neural Networks
- DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation
- Position-Aware Relation Learning for RGB-Thermal Salient Object Detection
- Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
- FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
- Review On Deep Learning Technique For Underwater Object Detection
- RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
- Detecting Crop Burning in India using Satellite Data
- The ReturnZero System for VoxCeleb Speaker Recognition Challenge 2022
- PePe: Personalized Post-editing Model utilizing User-generated Post-edits
- Recipe Generation from Unsegmented Cooking Videos
- A Systematic Literature Review of Soft Computing Techniques for Software Maintainability Prediction: State-of-the-Art, Challenges and Future Directions
- Interpretable Selective Learning in Credit Risk
- Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos
- Leak Detection in Natural Gas Pipeline Using Machine Learning Models
- Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
- A Comprehensive Survey on Trustworthy Recommender Systems
- Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers
- Distributed Online Non-convex Optimization with Composite Regret
- Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
- Variational Inference for Infinitely Deep Neural Networks
- Boosting Star-GANs for Voice Conversion with Contrastive Discriminator
- Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
- Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance
- Revisiting Discrete Soft Actor-Critic
- Deep Double Descent via Smooth Interpolation
- Can Shadows Reveal Biometric Information?
- PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification
- Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition
- On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies
- Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure
- Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring
- Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
- Generate rather than Retrieve: Large Language Models are Strong Context Generators
- Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
- Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
- Instance-dependent uniform tail bounds for empirical processes
- Adapting Pretrained Text-to-Text Models for Long Text Sequences