Papers
Sun 23 Apr 2023
108 papers
- Learning Fine-Grained Bimanual Manipulation with Low-Cost HardwareOffline RL and imitation learning from data → Robot manipulation imitation learning
- Score-Based Diffusion Models as Principled Priors for Inverse ImagingDiffusion models → Inverse problems and image restoration
- DiffVoice: Text-to-Speech with Latent DiffusionDiffusion models → Audio, speech and music
- DiffESM: Conditional Emulation of Earth System Models with Diffusion ModelsDiffusion models → Flow matching, time series and science
- Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LaMD: Latent Motion Diffusion for Image-Conditional Video GenerationDiffusion models → Video generation
- DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelDiffusion models → Diffusion and flow policies for robotics
- Divide and Prompt: Chain of Thought Prompting for Text-to-SQLLLM reasoning → Prompting and chain-of-thought reasoning
- PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes
- "Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
- An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection
- UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-Pattern
- Epistemic reflections on AI answering our questions: overwatch, erudite, logician, interlocutor
- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process
- System Identification with Copula Entropy
- Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques
- NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus
- The Case for Hierarchical Deep Learning Inference at the Network Edge
- You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
- Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)
- Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
- Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?
- IDLS: Inverse Depth Line based Visual-Inertial SLAM
- SketchXAI: A First Look at Explainability for Human Sketches
- GamutMLP: A Lightweight MLP for Color Loss Recovery
- Robust and differentially private stochastic linear bandits
- A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
- Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning
- A Review On Game Theory With Smart Grid Security
- Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
- Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval
- COVID-19 Spreading Prediction and Impact Analysis by Using Artificial Intelligence for Sustainable Global Health Assessment
- Quantile Extreme Gradient Boosting for Uncertainty Quantification
- End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch
- Analysis of Recent Trends in Face Recognition Systems
- LogicRec: Recommendation with Users' Logical Requirements
- A Lightweight Constrained Generation Alternative for Query-focused Summarization
- Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models
- No Free Lunch in Self Supervised Representation Learning
- Automatized marine vessel monitoring from sentinel-1 data using convolution neural network
- Sound-based drone fault classification using multitask learning
- Deep Convolutional Tables: Deep Learning without Convolutions
- Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
- An Artificial Intelligence-based Framework to Achieve the Sustainable Development Goals in the Context of Bangladesh
- Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
- HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
- Informative Data Selection with Uncertainty for Multi-modal Object Detection
- Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow
- The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations
- TGNN: A Joint Semi-supervised Framework for Graph-level Classification
- Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark
- Domain Mastery Benchmark: An Ever-Updating Benchmark for Evaluating Holistic Domain Knowledge of Large Language Model--A Preliminary Release
- RGB-D Indiscernible Object Counting in Underwater Scenes
- A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing
- Evading DeepFake Detectors via Adversarial Statistical Consistency
- Device management and network connectivity as missing elements in TinyML landscape
- CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition
- Hold the Suspect! : An Analysis on Media Framing of Itaewon Halloween Crowd Crush
- Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
- IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources
- Efficient Training of Deep Equilibrium Models
- AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
- Capturing Fine-grained Semantics in Contrastive Graph Representation Learning
- Stochastic Cell Transmission Models of Traffic Networks
- An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
- Towards Controllable Audio Texture Morphing
- Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
- Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
- Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
- TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential
- Meaningful Causal Aggregation and Paradoxical Confounding
- Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
- PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
- Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement
- Learning Partial Correlation based Deep Visual Representation for Image Classification
- Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
- System III: Learning with Domain Knowledge for Safety Constraints
- Broken Rail Detection With Texture Image Processing Using Two-Dimensional Gray Level Co-occurrence Matrix
- OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
- A Framework for Benchmarking Real-Time Embedded Object Detection
- StyLess: Boosting the Transferability of Adversarial Examples
- Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
- Differentiate ChatGPT-generated and Human-written Medical Texts
- Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data
- Lightweight Machine Learning for Digital Cross-Link Interference Cancellation with RF Chain Characteristics in Flexible Duplex MIMO Systems
- FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation
- Spectral Sensitivity Estimation Without a Camera
- CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
- KBody: Towards general, robust, and aligned monocular whole-body estimation
- Semi-Supervised Semantic Segmentation With Region Relevance
- Graph Neural Networks for Text Classification: A Survey
- Bi-Level Attention Graph Neural Networks
- A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
- Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification
- Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
- How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning
- Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
- TransFlow: Transformer as Flow Learner
- An Order-Complexity Model for Aesthetic Quality Assessment of Homophony Music Performance
All 108
- Processing Natural Language on Embedded Devices: How Well Do Transformer Models Perform?
- Hierarchical Weight Averaging for Deep Neural Networks
- LayerNAS: Neural Architecture Search in Polynomial Complexity
- Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
- QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
- Machine learning framework for end-to-end implementation of Incident duration prediction
- Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions
- Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation