Papers
Wed 23 Aug 2023
226 papers
- A Survey of Graph UnlearningLLM safety and security → Graph unlearning
- Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionDiffusion models → Medical imaging and segmentation
- InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelDiffusion models → Medical imaging and segmentation
- Augmenting medical image classifiers with synthetic data from latent diffusion modelsDiffusion models → Medical imaging and segmentation
- Renormalizing Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Improving Generative Model-based Unfolding with Schr"odinger BridgesDiffusion models → Diffusion foundations and sampling
- Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic SegmentationDiffusion models → Medical imaging and segmentation
- KL Convergence Guarantees for Score diffusion models under minimal data assumptionsDiffusion models → Diffusion foundations and sampling
- Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-FinetuningDiffusion models → Discrete and text diffusion
- A Probabilistic Fluctuation based Membership Inference Attack for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Category Adaptation Meets Projected Distillation in Generalized Continual Category DiscoveryKnowledge distillation → General knowledge distillation methods
- Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- MM-LIMA: Less Is More for Alignment in Multi-Modal DatasetsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert InferenceMixture-of-experts → Efficient MoE training and inference systems
- Manipulating Embeddings of Stable Diffusion PromptsDiffusion models → Image generation, text-to-image and editing
- Aligning Language Models with Offline Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Quantum-Noise-Driven Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoEMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- CED: Consistent ensemble distillation for audio taggingKnowledge distillation → Speech and audio distillation
- High-quality Image Dehazing with Diffusion ModelDiffusion models → Inverse problems and image restoration
- Efficient Transfer Learning in Diffusion Models via Adversarial NoiseDiffusion models → Diffusion foundations and sampling
- LongDanceDiff: Long-term Dance Generation with Conditional Diffusion ModelDiffusion models → Audio, speech and music
- Boosting Diffusion Models with an Adaptive Momentum SamplerDiffusion models → Diffusion foundations and sampling
- Audio Generation with Multiple Conditional Diffusion ModelDiffusion models → Audio, speech and music
- Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMsLLM reasoning → Causal reasoning in LLMs +1
- Computational models of object motion detectors accelerated using FPGA technology
- Vulnerability Clustering and other Machine Learning Applications of Semantic Vulnerability Embeddings
- DF-3DFace: One-to-Many Speech Synchronized 3D Face Animation with Diffusion
- Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
- Computational limits to the legibility of the imaged human brain
- Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network
- A Systematic Study on Quantifying Bias in GAN-Augmented Data
- Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models
- Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
- An approach based on Open Research Knowledge Graph for Knowledge Acquisition from scientific papers
- Diagnosing Infeasible Optimization Problems Using Large Language Models
- LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition
- MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
- Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis
- Overcoming Generic Knowledge Loss with Selective Parameter Update
- Consistent Signal Reconstruction from Streaming Multivariate Time Series
- PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning
- ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization
- MOFO: MOtion FOcused Self-Supervision for Video Understanding
- An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems
- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
- HNAS-reg: hierarchical neural architecture search for deformable medical image registration
- BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
- Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
- Characterising representation dynamics in recurrent neural networks for object recognition
- A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications
- Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
- Toward American Sign Language Processing in the Real World: Data, Tasks, and Methods
- Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
- Benchmarking Causal Study to Interpret Large Language Models for Source Code
- A Theory of Intelligences
- An Initial Exploration: Learning to Generate Realistic Audio for Silent Video
- Self-Supervised Learning for Endoscopic Video Analysis
- Machine learning in parameter estimation of nonlinear systems
- Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-Attention
- With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
- FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
- Vision Transformer Adapters for Generalizable Multitask Learning
- Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation
- AdVerb: Visually Guided Audio Dereverberation
- SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
- Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
- Saliency-based Video Summarization for Face Anti-spoofing
- Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
- Understanding Dark Scenes by Contrasting Multi-Modal Observations
- RemovalNet: DNN Fingerprint Removal Attacks
- Graph Neural Stochastic Differential Equations
- Trustworthy Representation Learning Across Domains
- Gaze Estimation on Spresense
- Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas
- Fast Exact NPN Classification with Influence-aided Canonical Form
- CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
- D4: Improving LLM Pretraining via Document De-Duplication and Diversification
- Extended Linear Regression: A Kalman Filter Approach for Minimizing Loss via Area Under the Curve
- On-Manifold Projected Gradient Descent
- Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models
- A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
- Language Reward Modulation for Pretraining Reinforcement Learning
- Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement
- Prompt2Model: Generating Deployable Models from Natural Language Instructions
- Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
- How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
- How to Protect Copyright Data in Optimization of Large Language Models?
- Multi-Objective Optimization for Sparse Deep Multi-Task Learning
- LLMRec: Benchmarking Large Language Models on Recommendation Task
- MolGrapher: Graph-based Visual Recognition of Chemical Structures
- SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
- Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
- Critical Learning Periods Emerge Even in Deep Linear Networks
- CIParsing: Unifying Causality Properties into Multiple Human Parsing
- SG-Former: Self-guided Transformer with Evolving Token Reallocation
- SoK: Machine Learning for Misinformation Detection
- CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
All 226
- Learning to Learn Financial Networks for Optimising Momentum Strategies
- ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
- Curriculum Learning with Adam: The Devil Is in the Wrong Details
- Towards Real-Time Analysis of Broadcast Badminton Videos
- Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion
- Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques
- Sign Language Translation with Iterative Prototype
- Development and external validation of a lung cancer risk estimation tool using gradient-boosting
- Unsupervised anomalies detection in IIoT edge devices networks using federated learning
- Tumor-Centered Patching for Enhanced Medical Image Segmentation
- NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos
- Data-driven decision-focused surrogate modeling
- Evaluation of Faithfulness Using the Longest Supported Subsequence
- Multimodal Latent Emotion Recognition from Micro-expression and Physiological Signals
- Mesh Conflation of Oblique Photogrammetric Models using Virtual Cameras and Truncated Signed Distance Field
- Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets
- Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection
- Semantic Change Detection for the Romanian Language
- Masking Strategies for Background Bias Removal in Computer Vision Models
- An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization
- An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
- The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
- Less is More -- Towards parsimonious multi-task models using structured sparsity
- Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
- Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection
- Constrained Stein Variational Trajectory Optimization
- The Local Learning Coefficient: A Singularity-Aware Complexity Measure
- Instruction Position Matters in Sequence Generation with Large Language Models
- Cached Operator Reordering: A Unified View for Fast GNN Training
- Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
- DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning
- Stabilizing RNN Gradients through Pre-training
- Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
- SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
- HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
- FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
- DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
- Sample Complexity of Robust Learning against Evasion Attacks
- Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
- Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation
- Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
- CgT-GAN: CLIP-guided Text GAN for Image Captioning
- A multiobjective continuation method to compute the regularization path of deep neural networks
- IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
- Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track
- RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D
- PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
- From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
- CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures
- Prompt-Based Length Controlled Generation with Reinforcement Learning
- Dual-Balancing for Multi-Task Learning
- LKPNR: LLM and KG for Personalized News Recommendation Framework
- Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
- Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information
- Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD
- Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
- MKL-L0/1-SVM
- StofNet: Super-resolution Time of Flight Network
- Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature
- Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition
- Neural oscillators for magnetic hysteresis modeling
- Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment
- On Universally Optimal Algorithms for A/B Testing
- Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
- Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
- Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
- Relational Concept Bottleneck Models
- RankMixup: Ranking-Based Mixup Training for Network Calibration
- Multi-Modal Multi-Task (3MT) Road Segmentation
- Rotation-Invariant Completion Network
- Will More Expressive Graph Neural Networks do Better on Generative Tasks?
- Approximating Score-based Explanation Techniques Using Conformal Regression
- Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
- Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
- Value of Assistance for Mobile Agents
- Maintaining Plasticity in Continual Learning via Regenerative Regularization
- When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
- Pose Modulated Avatars from Video
- Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
- RamseyRL: A Framework for Intelligent Ramsey Number Counterexample Searching
- Retail Demand Forecasting: A Comparative Study for Multivariate Time Series
- Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
- System Identification for Continuous-time Linear Dynamical Systems
- Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
- Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
- OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
- Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
- Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
- Diverse Policies Converge in Reward-free Markov Decision Processe
- Audio Difference Captioning Utilizing Similarity-Discrepancy Disentanglement
- Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
- AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
- LFS-GAN: Lifelong Few-Shot Image Generation
- Semantic-Aware Implicit Template Learning via Part Deformation Consistency
- Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
- ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
- Edge-aware Hard Clustering Graph Pooling for Brain Imaging
- On Using Admissible Bounds for Learning Forward Search Heuristics
- Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
- Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
- HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification
- Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
- Age Prediction From Face Images Via Contrastive Learning
- Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
- Bridging the Gap: Deciphering Tabular Data Using Large Language Model
- Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models
- A Unified Framework for 3D Point Cloud Visual Grounding
- YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
- Adversarial Training Using Feedback Loops
- SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
- Cabrita: closing the gap for foreign languages
- Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
- Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
- Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
- Dcc --help: Generating Context-Aware Compiler Error Explanations with Large Language Models
- KinSPEAK: Improving speech recognition for Kinyarwanda via semi-supervised learning methods
- Example-Based Framework for Perceptually Guided Audio Texture Generation
- CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation
- Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0
- A Mobile Data-Driven Hierarchical Deep Reinforcement Learning Approach for Real-time Demand-Responsive Railway Rescheduling and Station Overcrowding Mitigation
- A Data-Driven Approach to Morphogenesis under Structural Instability
- SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
- rm E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
- A Survey for Federated Learning Evaluations: Goals and Measures
- Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition
- A Benchmark Study on Calibration