Papers
Wed 29 Mar 2023
215 papers
- Advances in apparent conceptual physics reasoning in GPT-4LLM reasoning → Spatial and embodied reasoning
- Specification-Guided Data Aggregation for Semantically Aware Imitation LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Physics-Driven Diffusion Models for Impact Sound Synthesis from VideosDiffusion models → Audio, speech and music
- Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask AnnotationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diffusion Schr"odinger Bridge MatchingDiffusion models → Diffusion foundations and sampling
- 4D Facial Expression Diffusion ModelDiffusion models → Audio, speech and music
- WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- HoloDiffusion: Training a 3D Diffusion Model using 2D ImagesDiffusion models → 3D, point cloud and scene generation
- Implicit Diffusion Models for Continuous Super-ResolutionDiffusion models → Inverse problems and image restoration
- Learning Excavation of Rigid Objects with Offline Reinforcement LearningOffline RL and imitation learning from data → Real-world robot offline RL
- A Pilot Study of Query-Free Adversarial Attack against Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- A semi-automatic method for document classification in the shipping industry
- FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA
- CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes
- Quantitative study about the estimated impact of the AI Act
- Exploring Gender and Race Biases in the NFT Market
- Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes
- A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data
- DeepHive: A multi-agent reinforcement learning approach for automated discovery of swarm-based optimization policies
- Abstraction-based Probabilistic Stability Analysis of Polyhedral Probabilistic Hybrid Systems
- Parkinsons Disease Detection via Resting-State Electroencephalography Using Signal Processing and Machine Learning Techniques
- Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
- How Efficient Are Today's Continual Learning Algorithms?
- BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
- NOSTROMO: Lessons learned, conclusions and way forward
- Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition
- Ensemble weather forecast post-processing with a flexible probabilistic neural network approach
- Polarity is all you need to learn and transfer faster
- Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation
- Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
- Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
- Intention-Aware Decision-Making for Mixed Intersection Scenarios
- Three-way causal attribute partial order structure analysis
- Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
- Fast inference of latent space dynamics in huge relational event networks
- GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
- Ideal Abstractions for Decision-Focused Learning
- A Tensor-based Convolutional Neural Network for Small Dataset Classification
- Audio-Visual Grouping Network for Sound Localization from Mixtures
- Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
- Have it your way: Individualized Privacy Assignment for DP-SGD
- Training Neural Networks is NP-Hard in Fixed Dimension
- Federated Learning for Heterogeneous Bandits with Unobserved Contexts
- Automatic Camera Trajectory Control with Enhanced Immersion for Virtual Cinematography
- Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens
- EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction
- System Predictor: Grounding Size Estimator for Logic Programs under Answer Set Semantics
- HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
- A comparative evaluation of image-to-image translation methods for stain transfer in histopathology
- How do decoding algorithms distribute information in dialogue responses?
- Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary Exploration
- Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams
- The G-invariant graph Laplacian
- PopSparse: Accelerated block sparse matrix multiplication on IPU
- Does Sparsity Help in Learning Misspecified Linear Bandits?
- ContraSim -- Analyzing Neural Representations Based on Contrastive Learning
- What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
- Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages
- MaLP: Manipulation Localization Using a Proactive Scheme
- EgoTV: Egocentric Task Verification from Natural Language Task Descriptions
- BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification
- Queer In AI: A Case Study in Community-Led Participatory AI
- Sparse joint shift in multinomial classification
- Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+
- Fairness-Aware Data Valuation for Supervised Learning
- PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
- Leveraging joint sparsity in hierarchical Bayesian learning
- Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
- Concise QBF Encodings for Games on a Grid (extended version)
- De-coupling and De-positioning Dense Self-supervised Learning
- T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
- Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
- A New Deep Learning and XAI-Based Algorithm for Features Selection in Genomics
- Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
- RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
- Hybrid ACO-CI Algorithm for Beam Design problems
- InceptionNeXt: When Inception Meets ConvNeXt
- AutoAD: Movie Description in Context
- ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
- Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
- DPF: Learning Dense Prediction Fields with Weak Supervision
- Towards Understanding the Effect of Pretraining Label Granularity
- End-to-End n-ary Relation Extraction for Combination Drug Therapies
- Instant Photorealistic Neural Radiance Fields Stylization
- Storage and Learning phase transitions in the Random-Features Hopfield Model
- Photometric LiDAR and RGB-D Bundle Adjustment
- CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
- Questions of science: chatting with ChatGPT about complex systems
- A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
- ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
- Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
- Physical Deep Reinforcement Learning Towards Safety Guarantee
- Did You Mean...? Confidence-based Trade-offs in Semantic Parsing
- Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data
- AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
- Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
- MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
- Zero-shot Entailment of Leaderboards for Empirical AI Research
- Multi-View Keypoints for Reliable 6D Object Pose Estimation
- An inexact LPA for DC composite optimization and application to matrix completions with outliers
All 215
- Decision Making for Autonomous Driving in Interactive Merge Scenarios via Learning-based Prediction
- SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection
- Adaptive Superpixel for Active Learning in Semantic Segmentation
- PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss
- Optimal approximation using complex-valued neural networks
- Correcting for Selection Bias and Missing Response in Regression using Privileged Information
- Module-based regularization improves Gaussian graphical models when observing noisy data
- Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
- GRAF: Graph Attention-aware Fusion Networks
- Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
- MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
- Multi-View Clustering via Semi-non-negative Tensor Factorization
- Evaluating NLG systems: A brief introduction
- Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
- Active Implicit Object Reconstruction using Uncertainty-guided Next-Best-View Optimization
- Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications
- TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
- VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
- Text revision in Scientific Writing Assistance: An Overview
- Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data
- Performance-guaranteed regularization in maximum likelihood method: Gauge symmetry in Kullback -- Leibler divergence
- Topological Point Cloud Clustering
- One-Step Estimation of Differentiable Hilbert-Valued Parameters
- An intelligent modular real-time vision-based system for environment perception
- TraVaG: Differentially Private Trace Variant Generation Using GANs
- Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
- Latent Feature Relation Consistency for Adversarial Robustness
- Using Semantic Similarity and Text Embedding to Measure the Social Media Echo of Strategic Communications
- Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version
- Neuro-symbolic Rule Learning in Real-world Classification Tasks
- Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
- SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
- Summarizing Indian Languages using Multilingual Transformers based Models
- Learning Flow Functions from Data with Applications to Nonlinear Oscillators
- Structured Epipolar Matcher for Local Feature Matching
- MuRAL: Multi-Scale Region-based Active Learning for Object Detection
- G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
- Targeted Adversarial Attacks on Wind Power Forecasts
- DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
- Fairlearn: Assessing and Improving Fairness of AI Systems
- Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
- AraSpot: Arabic Spoken Command Spotting
- Reference-less Analysis of Context Specificity in Translation with Personalised Language Models
- NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination
- Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
- Modified watershed approach for segmentation of complex optical coherence tomographic images
- Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
- Federated Learning in MIMO Satellite Broadcast System
- Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs
- Quantum Deep Hedging
- Generalized Relation Modeling for Transformer Tracking
- FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
- Point2Vec for Self-Supervised Representation Learning on Point Clouds
- PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
- Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
- Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
- Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method
- Policy Gradient Methods for Discrete Time Linear Quadratic Regulator With Random Parameters
- Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation
- LMExplainer: Grounding Knowledge and Explaining Language Models
- Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
- Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
- Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
- RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition
- Importance Sampling for Stochastic Gradient Descent in Deep Neural Networks
- Building a Knowledge Graph of Distributed Ledger Technologies
- Understanding and Improving Features Learned in Deep Functional Maps
- HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching
- Ensemble Learning Model on Artificial Neural Network-Backpropagation (ANN-BP) Architecture for Coal Pillar Stability Classification
- Development of a deep learning-based tool to assist wound classification
- Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
- Fair Federated Medical Image Segmentation via Client Contribution Estimation
- From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings
- Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
- Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
- Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation
- Local Interpretability of Random Forests for Multi-Target Regression
- An Over-parameterized Exponential Regression
- Unified analysis of SGD-type methods
- AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR
- Distrust in (X)AI -- Measurement Artifact or Distinct Construct?
- AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
- TriVol: Point Cloud Rendering via Triple Volumes
- Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
- Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
- Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations
- NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
- Lipschitzness Effect of a Loss Function on Generalization Performance of Deep Neural Networks Trained by Adam and AdamW Optimizers
- GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
- When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
- Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
- Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks
- ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models
- Self-positioning Point-based Transformer for Point Cloud Understanding
- Multi-View Azimuth Stereo via Tangent Space Consistency
- Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
- Random Weights Networks Work as Loss Prior Constraint for Image Restoration
- Domain Adaptive Semantic Segmentation by Optimal Transport
- TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
- Real-time Controllable Denoising for Image and Video
- ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions
- ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
- Problems and shortcuts in deep learning for screening mammography
- Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
- A Comprehensive and Versatile Multimodal Deep Learning Approach for Predicting Diverse Properties of Advanced Materials
- Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration
- The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems
- LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability
- Hierarchical Video-Moment Retrieval and Step-Captioning
- Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding
- Are Data-driven Explanations Robust against Out-of-distribution Data?
- ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
- A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
- On the Query Complexity of Training Data Reconstruction in Private Learning
- Maximum likelihood smoothing estimation in state-space models: An incomplete-information based approach