Papers
Thu 1 Aug 2024
236 papers
- Abductive Reasoning in a Paraconsistent FrameworkLLM reasoning → Reasoning benchmarks and evaluation
- CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis ProgressionDiffusion models → Medical imaging and segmentation
- Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific ResearchDeep reinforcement learning methods → RL training of language and agent models
- Verification of Machine Unlearning is FragileLLM safety and security → Machine unlearning
- Towards Certified Unlearning for Deep Neural NetworksLLM safety and security → Machine unlearning
- Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable GenerationDiffusion models → Diffusion and flow policies for robotics
- MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated CapabilitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task GenerationLLM reasoning → Reasoning for agents, planning and code +1
- Tamper-Resistant Safeguards for Open-Weight LLMsLLM safety and security → Jailbreaking
- Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of AttentionDiffusion models → Diffusion foundations and sampling
- Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language ModelLLM reasoning → Spatial and embodied reasoning +1
- A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate ConvergenceDeep reinforcement learning methods → RL for games and combinatorial optimization
- Collaborative Vision-Text Representation Optimizing for Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TurboEdit: Text-Based Image Editing Using Few-Step Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up QuestionsRetrieval-augmented generation → Medical and biomedical RAG
- Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and OpportunitiesLLM safety and security → Membership inference attacks
- Reinforcement Learning applied to Insurance Portfolio PursuitDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Disentangling Dense Embeddings with Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- Cross-Scan Mamba with Masked Training for Robust Spectral ImagingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Are Bigger Encoders Always Better in Vision Large Models?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Alleviating Hallucination in Large Vision-Language Models with Active Retrieval AugmentationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mitigating Multilingual Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Illustrating Classic Brazilian Books using a Text-To-Image Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Intermittent Semi-Working Mask: A New Masking Paradigm for LLMsEfficient LLM inference and serving → KV cache optimization
- Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsLLM agents and tool use → Agent threats, guardrails and governance +1
- A new approach for encoding code and assisting code understandingLLM reasoning → Reasoning for agents, planning and code
- GalleryGPT: Analyzing Paintings with Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Goal-Oriented Semantic Communication for Wireless Image Transmission via Stable DiffusionDiffusion models → Diffusion for compression and wireless
- DriveArena: A Closed-loop Generative Simulation Platform for Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- On the Limitations and Prospects of Machine Unlearning for Generative AILLM safety and security → Machine unlearning
- Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Few-shot Defect Image Generation based on Consistency ModelingDiffusion models → Flow matching, time series and science
- DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 frameworkState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Autonomous LLM-Enhanced Adversarial Attack for Text-to-MotionLLM safety and security → Jailbreaking
- A Simple Background Augmentation Method for Object Detection with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerDiffusion models → Medical imaging and segmentation
- DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent ObjectsKnowledge distillation → Detection and dense prediction distillation
- ADBM: Adversarial diffusion bridge model for reliable adversarial purificationDiffusion models → Robustness, privacy and adversarial aspects
- Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- ABC Align: Large Language Model Alignment for Safety & AccuracyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Towards Flexible Evaluation for Generative Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
- RESC: A Reinforcement Learning Based Search-to-Control Framework for Quadrotor Local Planning in Dense EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionLLM reasoning → Reasoning benchmarks and evaluation +1
- Clover-2: Accurate Inference for Regressive Lightweight Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink MechanismsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge DistillationKnowledge distillation → Speech and audio distillation
- OmniParser for Pure Vision Based GUI AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep
- Queries With Exact Truth Values in Paraconsistent Description Logics
- Longitudinal Evaluation of Child Face Recognition and the Impact of Underlying Age
- Predictive maintenance solution for industrial systems -- an unsupervised approach based on log periodic power law
- Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
- A self-adaptive system of systems architecture to enable its ad-hoc scalability: Unmanned Vehicle Fleet -- Mission Control Center Case study
- Artifical intelligence and inherent mathematical difficulty
- Open Set Recognition for Random Forest
- Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
- Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps
- Aggregation Models with Optimal Weights for Distributed Gaussian Processes
- PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services
- Equivariant neural networks and piecewise linear representation theory
- Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios
- Generalisation of Total Uncertainty in AI: A Theoretical Study
- Data-Driven Traffic Simulation for an Intersection in a Metropolis
- A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage
- WHITE PAPER: A Brief Exploration of Data Exfiltration using GCG Suffixes
- Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization
- Automatic Pull Request Description Generation Using LLMs: A T5 Model Approach
- Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection
- Distance-Preserving Representations for Genomic Spatial Reconstruction
- Early Stopping Based on Repeated Significance
- Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
- Expressive MIDI-format Piano Performance Generation
- Discrete Randomized Smoothing Meets Quantum Computing
- Peptide Sequencing Via Protein Language Models
- Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis
- Hybrid Querying Over Relational Databases and Large Language Models
- On the Relationship Between Monotone and Squared Probabilistic Circuits
- Medical SAM 2: Segment medical images as video via Segment Anything Model 2
- Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
- UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation
- UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization
- GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
- Penalty Learning for Optimal Partitioning using Multilayer Perceptron
- A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity
- Calibrating Bayesian Generative Machine Learning for Bayesiamplification
- Y Social: an LLM-powered Social Media Digital Twin
- Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
- UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model
- Text-Guided Video Masked Autoencoder
- Segment anything model 2: an application to 2D and 3D medical images
- A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life
- Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer
- DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
- CERT-ED: Certifiably Robust Text Classification for Edit Distance
All 236
- A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews
- SAM 2: Segment Anything in Images and Videos
- MotionFix: Text-Driven 3D Human Motion Editing
- Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification
- Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function
- Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM
- Future of Artificial Intelligence in Agile Software Development
- Joint Neural Networks for One-shot Object Recognition and Detection
- You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
- Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
- Accelerating Full Waveform Inversion By Transfer Learning
- Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
- Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
- Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index
- Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
- Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
- Scaling Backwards: Minimal Synthetic Pre-training?
- An effect analysis of the balancing techniques on the counterfactual explanations of student success prediction models
- Leveraging Entailment Judgements in Cross-Lingual Summarisation
- ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio
- Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
- ExpertAF: Expert Actionable Feedback from Video
- AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models
- Aligning Multiple Knowledge Graphs in a Single Pass
- SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
- SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
- Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing
- A Dirichlet stochastic block model for composition-weighted networks
- Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning
- Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
- AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
- Privacy-preserving datasets by capturing feature distributions with Conditional VAEs
- Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
- DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks
- SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data
- Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
- Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
- Downstream bias mitigation is all you need
- Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
- AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model
- Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control
- Regional quality estimation for echocardiography using deep learning
- Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses
- Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
- Analyzing the Effectiveness of Quantum Annealing with Meta-Learning
- MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection
- Learning to Embed Distributions via Maximum Kernel Entropy
- The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
- High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets
- The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement
- ReSi: A Comprehensive Benchmark for Representational Similarity Measures
- Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps
- Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling
- Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion
- Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
- VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection
- Block-Operations: Using Modular Routing to Improve Compositional Generalization
- How Effective are Self-Supervised Models for Contact Identification in Videos
- SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
- Explainable Emotion Decoding for Human and Computer Vision
- Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
- Multi-label Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning
- A Systematic Review on Long-Tailed Learning
- HBot: A Chatbot for Healthcare Applications in Traditional Chinese Medicine Based on Human Body 3D Visualization
- Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach
- Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception
- Infrequent Resolving Algorithm for Online Linear Programming
- Designing Efficient LLM Accelerators for Edge Devices
- Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion
- DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration
- Ontological Relations from Word Embeddings
- Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval
- Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming
- Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine
- A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality
- Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning
- CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images
- A Cross-Domain Benchmark for Active Learning
- Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction
- MPT-PAR:Mix-Parameters Transformer for Panoramic Activity Recognition
- Towards Reliable Advertising Image Generation Using Human Feedback
- Unsupervised Pairwise Causal Discovery on Heterogeneous Data using Mutual Information Measures
- In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
- Deepfake Media Forensics: State of the Art and Challenges Ahead
- What comes after transformers? -- A selective survey connecting ideas in deep learning
- EXAONEPath 1.0 Patch-level Foundation Model for Pathology
- Multimodal Fusion and Coherence Modeling for Video Topic Segmentation
- High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior
- Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
- DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
- DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training
- Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos
- Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks
- Neural Graph Matching for Video Retrieval in Large-Scale Video-driven E-commerce
- IN-Sight: Interactive Navigation through Sight
- MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench
- Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging
- DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
- "Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions
- OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
- Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
- Adversarial Text Rewriting for Text-aware Recommender Systems
- Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling
- Online Linear Programming with Batching
- Neural Octahedral Field: Octahedral prior for simultaneous smoothing and sharp edge regularization
- Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names
- EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head
- Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360deg
- Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
- RDP: Ranked Differential Privacy for Facial Feature Protection in Multiscale Sparsified Subspace
- Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
- Gradient Harmonization in Unsupervised Domain Adaptation
- Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation
- Navigating Text-to-Image Generative Bias across Indic Languages
- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion
- MESA: Effective Matching Redundancy Reduction by Semantic Area Segmentation
- High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures
- UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation
- Improving Image De-raining Using Reference-Guided Transformers
- RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment
- Mobility-Aware Federated Self-supervised Learning in Vehicular Network
- Revocable Backdoor for Deep Model Trading
- LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting
- Discovering Car-following Dynamics from Trajectory Data through Deep Learning
- Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
- Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
- Empirical Bayes Linked Matrix Decomposition
- CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction
- Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
- multiGradICON: A Foundation Model for Multimodal Medical Image Registration
- Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning
- Load Balancing in Federated Learning
- Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data
- A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition
- Prognosis of COVID-19 using Artificial Intelligence: A Systematic Review and Meta-analysis
- Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner