Papers
Sat 10 Aug 2024
108 papers
- Pretrained-Guided Conditional Diffusion Models for Microbiome Data AnalysisDiffusion models → Flow matching, time series and science
- Eigen Attention: Attention in Low-Rank Space for KV Cache CompressionLLM reasoning → Test-time compute and efficient thinking +1
- Speculative Diffusion Decoding: Accelerating Language Generation through DiffusionEfficient LLM inference and serving → Speculative decoding
- Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality DemonstrationsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at ScaleEnd-to-end autonomous driving → Cooperative and V2X driving
- Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsRetrieval-augmented generation → Generation and context integration
- SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at ScaleEfficient LLM inference and serving → Serving systems and request scheduling
- ZePo: Zero-Shot Portrait Stylization with Faster SamplingDiffusion models → Image generation, text-to-image and editing
- ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial AttackDiffusion models → Robustness, privacy and adversarial aspects
- Multi-Agent Planning Using Visual Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Trajectory Planning for Teleoperated Space Manipulators Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Multimodal generative semantic communication based on latent diffusion modelDiffusion models → Diffusion for compression and wireless
- Mathematical Models of Computation in SuperpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at KuaishouMixture-of-experts → MoE theory and gating functions
- High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion ModelDiffusion models → Audio, speech and music
- Civiverse: A Dataset for Analyzing User Engagement with Open-Source Text-to-Image Models
- Transformer-based Neuro-Animator for Qualitative Simulation of Soft Body Movement
- Balancing Innovation and Ethics in AI-Driven Software Development
- Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels
- ViC: Virtual Compiler Is All You Need For Assembly Code Search
- Dilated Convolution with Learnable Spacings
- FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays
- WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletion
- Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
- Controlling for discrete unmeasured confounding in nonlinear causal models
- BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans
- Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties
- Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems
- Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis
- PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance Transfer
- Quantum-secure multiparty deep learning
- Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods
- An Information-Theoretic Analysis of Temporal GNNs
- A forward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
- UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
- Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
- Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance
- Safety Enhancement in Planetary Rovers: Early Detection of Tip-over Risks Using Autoencoders
- Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
- Meta Clustering of Neural Bandits
- Dynamical causality under invisible confounders
- Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition
- Camera Perspective Transformation to Bird's Eye View via Spatial Transformer Model for Road Intersection Monitoring
- In-Context Exploiter for Extensive-Form Games
- Metacognitive Myopia in Large Language Models
- Document-Level Event Extraction with Definition-Driven ICL
- Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
- What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon
- Incremental Gauss-Newton Descent for Machine Learning
- Object Re-identification via Spatial-temporal Fusion Networks and Causal Identity Matching
- Evolutionary Neural Architecture Search for 3D Point Cloud Analysis
- Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction
- Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text
- Multi-layer Sequence Labeling-based Joint Biomedical Event Extraction
- PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement
- P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for data pruning in LLM Training
- Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
- S-SIRUS: an explainability algorithm for spatial regression Random Forest
- Latent class analysis for multi-layer categorical data
- Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
- Radiance Field Learners As UAV First-Person Viewers
- CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
- DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
- Long working distance portable smartphone microscopy for metallic mesh defect detection
- Anticipation through Head Pose Estimation: a preliminary study
- PointMT: Efficient Point Cloud Analysis with Hybrid MLP-Transformer Architecture
- Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers
- Disentangled Noisy Correspondence Learning
- GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
- PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
- A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
- MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
- Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
- Structure and Reduction of MCTS for Explainable-AI
- Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
- Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE
- Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting
- Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
- A Structural Feature-Based Approach for Comprehensive Graph Classification
- FuXi Weather: A data-to-forecast machine learning system for global weather
- A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
- Investigating Instruction Tuning Large Language Models on Graphs
- Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
- EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency
- Unidirectional imaging with partially coherent light
- Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering
- Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
- Predicting Long-Term Allograft Survival in Liver Transplant Recipients
- A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
- SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
- Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan
- Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
- Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
- SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection
- Modeling Multi-Step Scientific Processes with Graph Transformer Networks
- EPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition
- Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning
- Style-Preserving Lip Sync via Audio-Aware Style Reference
- How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model
All 108
- RSL-BA: Rolling Shutter Line Bundle Adjustment
- Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test
- LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components Identification
- Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering
- PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification
- fastkqr: A Fast Algorithm for Kernel Quantile Regression
- SAMSA: Efficient Transformer for Many Data Modalities
- Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions