Papers
Sun 17 Sep 2023
97 papers
- PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language PromptsDiffusion models → Audio, speech and music
- LiDAR Data Synthesis with Denoising Diffusion Probabilistic ModelsWorld models → World modeling from LiDAR generation +1
- SplitEE: Early Exit in Deep Neural Networks with Split ComputingEfficient LLM inference and serving → Early exit and edge inference
- From Knowing to Doing: Learning Diverse Motor Skills through Instruction LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Contrastive Decoding Improves Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Forensic Video Analytic Software
- Moving Object Based Collision-Free Video Synopsis
- Visual Forecasting as a Mid-level Representation for Avoidance
- Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms
- Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
- Private Matrix Factorization with Public Item Features
- Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
- A novel approach to measuring the scope of patent claims based on probabilities obtained from (large) language models
- Energy stable neural network for gradient flow equations
- CaSAR: Contact-aware Skeletal Action Recognition
- Detecting covariate drift in text data using document embeddings and dimensionality reduction
- ChatGPT Hallucinates when Attributing Answers
- CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
- Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings
- Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization
- Augmenting text for spoken language understanding with Large Language Models
- Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
- Federated Learning in Temporal Heterogeneity
- Mitigating Shortcuts in Language Models with Soft Label Encoding
- A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo
- Fully Convolutional Generative Machine Learning Method for Accelerating Non-Equilibrium Greens Function Simulations
- A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches
- Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
- Language models are susceptible to incorrect patient self-diagnosis in medical applications
- An Automatic Tuning MPC with Application to Ecological Cruise Control
- Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model
- Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties
- Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents
- Performance of the Pre-Trained Large Language Model GPT-4 on Automated Short Answer Grading
- Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows
- Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India
- A Few-Shot Approach to Dysarthric Speech Intelligibility Level Classification Using Transformers
- Enhancing Knee Osteoarthritis severity level classification using diffusion augmented images
- Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores
- How People Perceive The Dynamic Zero-COVID Policy: A Retrospective Analysis From The Perspective of Appraisal Theory
- Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity
- Active Learning for Semantic Segmentation with Multi-class Label Query
- Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
- MOVIN: Real-time Motion Capture using a Single LiDAR
- Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention
- UGC: Unified GAN Compression for Efficient Image-to-Image Translation
- Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
- RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
- AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining
- OWL: A Large Language Model for IT Operations
- Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
- Model-based Subsampling for Knowledge Graph Completion
- LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
- MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
- Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking
- Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
- Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning
- Code quality assessment using transformers
- Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets
- User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
- Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems
- LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual Tracking
- Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place
- Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
- High-dimensional manifold of solutions in neural networks: insights from statistical physics
- Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ0-constraints
- Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures
- Provable learning of quantum states with graphical models
- Bayesian Gaussian Process ODEs via Double Normalizing Flows
- Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables
- CryoAlign: feature-based method for global and local 3D alignment of EM density maps
- All-optical image denoising using a diffractive visual processor
- Neural Gradient Learning and Optimization for Oriented Point Normal Estimation
- Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
- MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference
- A Benchmark for Text Expansion: Datasets, Metrics, and Baselines
- Efficient Pyramid Channel Attention Network for Pathological Myopia Recognition
- End-to-End Optimized Pipeline for Prediction of Protein Folding Kinetics
- Data-Driven Reachability Analysis of Stochastic Dynamical Systems with Conformal Inference
- CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation
- From Cooking Recipes to Robot Task Trees -- Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network
- Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture
- Syntax Tree Constrained Graph Network for Visual Question Answering
- Imbalanced Data Stream Classification using Dynamic Ensemble Selection
- On the Connection Between Riemann Hypothesis and a Special Class of Neural Networks
- Integration of geoelectric and geochemical data using Self-Organizing Maps (SOM) to characterize a landfill
- Can Large Language Models Understand Real-World Complex Instructions?
- Enhancing Quantised End-to-End ASR Models via Personalisation
- Total Variation Distance Meets Probabilistic Inference
- L1 Estimation: On the Optimality of Linear Estimators
- ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
- How much can ChatGPT really help Computational Biologists in Programming?
- Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments
- Conditional Mutual Information Constrained Deep Learning for Classification
- FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization
- Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Ernie
- Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors