Papers
Fri 3 Mar 2023
214 papers
- Decision Transformer under Random Frame DroppingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Learning to Influence Human Behavior with Offline Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Learning to reason over visual objectsLLM reasoning → Multimodal reasoning
- X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Unleashing Text-to-Image Diffusion Models for Visual PerceptionMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusionDiffusion models → Medical imaging and segmentation
- How To Guide Your Learner: Imitation Learning with Active Adaptive Expert InvolvementOffline RL and imitation learning from data → Imitation learning methods
- Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge DistillationKnowledge distillation → Distillation for medical imaging
- CONTAIN: A Community-based Algorithm for Network ImmunizationLLM safety and security → Membership inference attacks
- Diffusion Models are Minimax Optimal Distribution EstimatorsDiffusion models → Diffusion foundations and sampling
- TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile AgentsLLM agents and tool use → Agentic AI for wireless networks
- A Complete Recipe for Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
- NCL: Textual Backdoor Defense Using Noise-augmented Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- Guarded Policy Optimization with Imperfect Online DemonstrationsKnowledge distillation → On-policy and self-distillation for LLMs
- NovPhy: A Testbed for Physical Reasoning in Open-world EnvironmentsLLM reasoning → Spatial and embodied reasoning
- Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines
- Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation
- A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification
- Area of interest adaption using feature importance
- Unfinished Architectures: A Perspective from Artificial Intelligence
- Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey
- EZtune: A Package for Automated Hyperparameter Tuning in R
- Cryptocurrency Price Prediction using Twitter Sentiment Analysis
- Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms
- Study on the Data Storage Technology of Mini-Airborne Radar Based on Machine Learning
- VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild
- One step closer to EEG based eye tracking
- Early Warning Signals of Social Instabilities in Twitter Data
- Prevalence and Major Risk Factors of Non-communicable Diseases: A Machine Learning based Cross-Sectional Study
- GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
- Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
- Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance
- Developing the Reliable Shallow Supervised Learning for Thermal Comfort using ASHRAE RP-884 and ASHRAE Global Thermal Comfort Database II
- Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
- Interpretable Architecture Neural Networks for Function Visualization
- Contrastive Hierarchical Clustering
- Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
- End-to-End Speech Recognition: A Survey
- Vectorial Genetic Programming -- Optimizing Segments for Feature Extraction
- Query Learning Algorithm for Ordered Multi-Terminal Binary Decision Diagrams
- Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT
- Evaluation of Confidence-based Ensembling in Deep Learning Image Classification
- Utilizing synthetic training data for the supervised classification of rat ultrasonic vocalizations
- Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis
- Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism
- Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
- Rotation Invariant Quantization for Model Compression
- A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
- Can We Find Nash Equilibria at a Linear Rate in Markov Games?
- Collaborative Learning with a Drone Orchestrator
- Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
- Visual Perception System for Autonomous Driving
- Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
- Certified Robust Neural Networks: Generalization and Corruption Resistance
- Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
- Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
- TrojText: Test-time Invisible Textual Trojan Insertion
- Domain adaptation using optimal transport for invariant learning using histopathology datasets
- Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
- Building Floorspace in China: A Dataset and Learning Pipeline
- Online simulator-based experimental design for cognitive model selection
- Feature Selection with Annealing for Forecasting Financial Time Series
- NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training
- Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
- Adversarial Attacks on Machine Learning in Embedded and IoT Platforms
- Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
- Lightweight, Uncertainty-Aware Conformalized Visual Odometry
- Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models
- KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
- Exploring Data Augmentation Methods on Social Media Corpora
- R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning
- MixVPR: Feature Mixing for Visual Place Recognition
- Interpretable reduced-order modeling with time-scale separation
- Causal Deep Learning
- CoRL: Environment Creation and Management Focused on System Integration
- Towards a GML-Enabled Knowledge Graph Platform
- Eryn : A multi-purpose sampler for Bayesian inference
- Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
- Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
- Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees
- Eventual Discounting Temporal Logic Counterfactual Experience Replay
- Depth-based 6DoF Object Pose Estimation using Swin Transformer
- Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
- TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision
- Skeletal Point Representations with Geometric Deep Learning
- Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
- Nature's Cost Function: Simulating Physics by Minimizing the Action
- Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming
- Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
- Configurable calorimeter simulation for AI applications
- Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
- Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
- Unproportional mosaicing
- Who could be behind QAnon? Authorship attribution with supervised machine-learning
- Graph-based Global Robot Localization Informing Situational Graphs with Architectural Graphs
- Adaptive Interventions for Global Health: A Case Study of Malaria
- Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
- Spectral learning of Bernoulli linear dynamical systems models
- 3D-Aware Object Localization using Gaussian Implicit Occupancy Function
- Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
All 214
- On the complexity of PAC learning in Hilbert spaces
- Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
- Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
- Single-photon Image Super-resolution via Self-supervised Learning
- Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin
- Calibration of Quantum Decision Theory: Aversion to Large Losses and Predictability of Probabilistic Choices
- MAEVI: Motion Aware Event-Based Video Frame Interpolation
- Graph-level representations using ensemble-based readout functions
- Summary Statistic Privacy in Data Sharing
- Diagnosing Model Performance Under Distribution Shift
- Zero-shot Object Counting
- BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap
- Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
- MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities
- Spatiotemporal modeling of grip forces captures proficiency in manual robot control
- Discovery and Recognition of Formula Concepts using Machine Learning
- Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs
- Towards Democratizing Joint-Embedding Self-Supervised Learning
- Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning
- PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
- Synthetic Data Generator for Adaptive Interventions in Global Health
- Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
- Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors
- Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network
- Multi-Agent Adversarial Training Using Diffusion Learning
- MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
- Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
- A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML
- Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
- RAFEN -- Regularized Alignment Framework for Embeddings of Nodes
- Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes
- Bayesian CART models for insurance claims frequency
- Robust Detection Outcome: A Metric for Pathology Detection in Medical Images
- Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
- Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
- Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision
- Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM
- Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
- EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
- Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering
- Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level
- TRR360D: A dataset for 360 degree rotated rectangular box table detection
- Machine learning using magnetic stochastic synapses
- AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing
- Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
- Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
- Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models
- Rule-based Out-Of-Distribution Detection
- POPGym: Benchmarking Partially Observable Reinforcement Learning
- LBCIM: Loyalty Based Competitive Influence Maximization with epsilon-greedy MCTS strategy
- Mapping Wordnets on the Fly with Permanent Sense Keys
- Learning Permutation-Invariant Embeddings for Description Logic Concepts
- Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
- A Hybrid Approach to Full-Scale Reconstruction of Renal Arterial Network
- Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens
- Word-As-Image for Semantic Typography
- Unsupervised Recycled FPGA Detection Using Symmetry Analysis
- When does Privileged Information Explain Away Label Noise?
- Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion
- Uncertainty-Aware Gradient Stabilization for Small Object Detection
- Reservoir computing based on solitary-like waves dynamics of film flows: a proof of concept
- PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation
- Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
- Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
- Graph-based Extreme Feature Selection for Multi-class Classification Tasks
- Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
- 3D Multi-Object Tracking Based on Uncertainty-Guided Data Association
- Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding
- FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
- Benchmarking White Blood Cell Classification Under Domain Shift
- Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
- Continual Causal Inference with Incremental Observational Data
- Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
- Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning
- Quantized Radio Map Estimation Using Tensor and Deep Generative Models
- Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
- Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks
- Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement
- SottoVoce: An Ultrasound Imaging-Based Silent Speech Interaction Using Deep Neural Networks
- Deep Momentum Multi-Marginal Schr"odinger Bridge
- Queue Scheduling with Adversarial Bandit Learning
- A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
- Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
- Study of Distractors in Neural Models of Code
- Multi-Plane Neural Radiance Fields for Novel View Synthesis
- AdvART: Adversarial Art for Camouflaged Object Detection Attacks
- One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Application
- Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
- AI-Empowered Hybrid MIMO Beamforming
- Convex Bounds on the Softmax Function with Applications to Robustness Verification
- BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
- Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
- Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification
- Feature Importance Disparities for Data Bias Investigations
- DWFormer: Dynamic Window transFormer for Speech Emotion Recognition
- Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
- Travel Demand Forecasting: A Fair AI Approach
- Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
- Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
- Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
- BO-Muse: A human expert and AI teaming framework for accelerated experimental design
- Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
- Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
- Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography
- Near Optimal Memory-Regret Tradeoff for Online Learning
- Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
- Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
- RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
- Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
- Longwave infrared multispectral image sensor system using aluminum-germanium plasmonic filter arrays
- Feature Completion Transformer for Occluded Person Re-identification
- APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
- RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements
- Hierarchical Graph Neural Networks for Particle Track Reconstruction