Papers
Sun 8 Sep 2024
110 papers
- GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System ForecastingDiffusion models → Diffusion and flow policies for robotics
- Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in ConversationsState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?LLM reasoning → Knowledge- and tool-augmented reasoning
- QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCEDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Diffusion-based Speech Enhancement with Schr"odinger Bridge and Symmetric Noise ScheduleDiffusion models → Audio, speech and music
- PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe QuestionsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- An Analysis of Logit Learning with the r-Lambert FunctionOffline RL and imitation learning from data → Inverse reinforcement learning
- TF-Mamba: A Time-Frequency Network for Sound Source LocalizationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- A Survey on Diffusion Models for Recommender SystemsDiffusion models → Diffusion recommenders
- InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Soft Actor-Critic with Beta Policy via Implicit Reparameterization GradientsDeep reinforcement learning methods → RL theory and sample complexity
- Explaining Human Comparisons using Alignment-Importance Heatmaps
- Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?
- Efficient Classification of Histopathology Images
- Expanding Expressivity in Transformer Models with M"obiusAttention
- Elastic On-Device LLM Service
- RAGent: Retrieval-based Access Control Policy Generation
- Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models
- KModels: Unlocking AI for Business Applications
- Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
- Socially Responsible Data for Large Multilingual Language Models
- FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation
- Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications
- A Low-Computational Video Synopsis Framework with a Standard Dataset
- BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration
- Comparison of Two Augmentation Methods in Improving Detection Accuracy of Hemarthrosis
- Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
- Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
- ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
- Influence-based Attributions can be Manipulated
- Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml
- SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks
- A Survey on Mixup Augmentations and Beyond
- Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection
- Interactive Machine Teaching by Labeling Rules and Instances
- Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets
- Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
- Learning to Classify Quantum Phases of Matter with a Few Measurements
- Sliding-Window Thompson Sampling for Non-Stationary Settings
- Insights from Benchmarking Frontier Language Models on Web App Code Generation
- Advanced Machine Learning Framework for Efficient Plant Disease Prediction
- Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective
- Stress Predictions in Polycrystal Plasticity using Graph Neural Networks with Subgraph Training
- CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
- Can OOD Object Detectors Learn from Foundation Models?
- Inference for Large Scale Regression Models with Dependent Errors
- Image color consistency in datasets: the Smooth-TPS3D method
- OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
- Ultron: Enabling Temporal Geometry Compression of 3D Mesh Sequences using Temporal Correspondence and Mesh Deformation
- Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis
- TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs
- Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach
- READoc: A Unified Benchmark for Realistic Document Structured Extraction
- MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework
- Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
- Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods
- PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction
- PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
- WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents
- EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
- MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
- DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping
- Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
- The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing loss
- Leveraging WaveNet for Dynamic Listening Head Modeling from Speech
- Transformer with Leveraged Masked Autoencoder for video-based Pain Assessment
- Adaptive k-nearest neighbor classifier based on the local estimation of the shape operator
- From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems
- A General Framework for Clustering and Distribution Matching with Bandit Feedback
- Lepskii Principle for Distributed Kernel Ridge Regression
- Sight View Constraint for Robust Point Cloud Registration
- Dynamic Demand Management for Parcel Lockers
- Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration
- Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced Optimization
- Deep Generic Representations for Domain-Generalized Anomalous Sound Detection
- Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection
- Unified theoretical guarantees for stability, consistency, and convergence in neural PDE solvers from non-IID data to physics-informed networks
- GUI Test Migration via Abstraction and Concretization
- Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
- Stability and convergence analysis of AdaGrad for non-convex optimization via novel stopping time-based techniques
- Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
- Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
- Audio-Guided Fusion Techniques for Multimodal Emotion Analysis
- Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector
- A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
- Visual Grounding with Multi-modal Conditional Adaptation
- A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints
- Learning nonnegative matrix factorizations from compressed data
- DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
- 2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
- Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception
- RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network
- Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks
- Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
- HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator
- PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
- Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks
- Natias: Neuron Attribution based Transferable Image Adversarial Steganography
- Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
All 110
- GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
- A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
- DDNet: Deformable Convolution and Dense FPN for Surface Defect Detection in Recycled Books
- Evaluating Neural Networks Architectures for Spring Reverb Modelling
- Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
- Attention-Based Efficient Breath Sound Removal in Studio Audio Recordings
- Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels
- UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
- An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing
- Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines