Papers
Tue 22 Aug 2023
234 papers
- Addressing the Accuracy-Cost Tradeoff in Material Property Prediction: A Teacher-Student StrategyKnowledge distillation → Graph neural network distillation
- Towards an On-device Agent for Text RewritingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-ExpertsMixture-of-experts → Vision mixture-of-experts
- VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Unsupervised Prototype Adapter for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- IT3D: Improved Text-to-3D Generation with Explicit View SynthesisDiffusion models → 3D, point cloud and scene generation
- Convergence guarantee for consistency modelsDiffusion models → Diffusion foundations and sampling
- SDeMorph: Towards Better Facial De-morphing from Single MorphDiffusion models → Robustness, privacy and adversarial aspects
- A Survey on Large Language Model based Autonomous AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MatFuse: Controllable Material Generation with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- ProAgent: Building Proactive Cooperative Agents with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender SystemsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Knowledge-Aware Prompt Tuning for Generalizable Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ViCo: Engaging Video Comment Generation with Human Preference RewardsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Is There Any Social Principle for LLM-Based Agents?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated OutputsDiffusion models → Robustness, privacy and adversarial aspects +1
- Nonparametric Spatio-Temporal Joint Probabilistic Data Association Coupled Filter and Interfering Extended Target Tracking
- Several fitness functions and entanglement gates in quantum kernel generation
- A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
- Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness
- Combining Automatic Coding and Instructor Input to Generate ENA Visualizations for Asynchronous Online Discussion
- Towards a Holodeck-style Simulation Game
- Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors
- Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
- Handling the inconsistency of systems of minrightarrow fuzzy relational equations
- Inferring gender from name: a large scale performance evaluation study
- Modeling Bends in Popular Music Guitar Tablatures
- Recording of 50 Business Assignments
- Characterizing normal perinatal development of the human brain structural connectivity
- Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection
- Algorithm-assisted discovery of an intrinsic order among mathematical constants
- Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test
- Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
- PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification
- A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder
- Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks
- Evaluation of Deep Neural Operator Models toward Ocean Forecasting
- Expressive probabilistic sampling in recurrent neural networks
- Adversarial Illusions in Multi-Modal Embeddings
- Variational Density Propagation Continual Learning
- Complex-valued neural networks for voice anti-spoofing
- CLIP Multi-modal Hashing: A new baseline CLIPMH
- Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
- Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
- Data Assimilation for Sign-indefinite Priors: A generalization of Sinkhorn's algorithm
- An extensible point-based method for data chart value detection
- HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses
- Coarse-to-Fine Multi-Scene Pose Regression with Transformers
- Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
- Few-shot Anomaly Detection in Text with Deviation Learning
- Understanding Hessian Alignment for Domain Generalization
- WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters
- SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)
- Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
- 3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
- Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
- Weakly Supervised Face and Whole Body Recognition in Turbulent Environments
- VBMO: Voting-Based Multi-Objective Path Planning
- Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
- Patient Clustering via Integrated Profiling of Clinical and Digital Data
- Efficient Controllable Multi-Task Architectures
- Lifted Inference beyond First-Order Logic
- Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
- (Un)fair Exposure in Deep Face Rankings at a Distance
- Knowledge Graph Prompting for Multi-Document Question Answering
- When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
- Calorimeter shower superresolution
- Efficient Benchmarking of Language Models
- Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
- User Identity Linkage in Social Media Using Linguistic and Social Interaction Features
- Learning to generate and corr- uh I mean repair language in real-time
- An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
- Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework?
- WEARS: Wearable Emotion AI with Real-time Sensor data
- Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
- Generalising sequence models for epigenome predictions with tissue and assay embeddings
- Machine Learning-based Positioning using Multivariate Time Series Classification for Factory Environments
- Class Label-aware Graph Anomaly Detection
- GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency
- Delving into Motion-Aware Matching for Monocular 3D Object Tracking
- StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
- GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning
- Semantic Multi-Resolution Communications
- Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models
- SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
- G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Model
- SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation
- Low Tensor Rank Learning of Neural Dynamics
- Using ChatGPT as a CAT tool in Easy Language translation
- EndoNet: model for automatic calculation of H-score on histological slides
- Target-Grounded Graph-Aware Transformer for Aerial Vision-and-Dialog Navigation
- Open Set Synthetic Image Source Attribution
- Multi-event Video-Text Retrieval
- BELB: a Biomedical Entity Linking Benchmark
- A free from local minima algorithm for training regressive MLP neural networks
- Empowering Refugee Claimants and their Lawyers: Using Machine Learning to Examine Decision-Making in Refugee Law
- Leveraging Language Model Capabilities for Sound Event Detection
- ReLiCADA -- Reservoir Computing using Linear Cellular Automata Design Algorithm
- EM for Mixture of Linear Regression with Clustered Data
All 234
- TrackFlow: Multi-Object Tracking with Normalizing Flows
- Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models
- SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
- LCCo: Lending CLIP to Co-Segmentation
- Can Authorship Representation Learning Capture Stylistic Features?
- Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
- Opening the Vocabulary of Egocentric Actions
- Free Lunch for Gait Recognition: A Novel Relation Descriptor
- Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
- Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
- Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
- An improved column-generation-based matheuristic for learning classification trees
- Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)
- Multitemporal analysis in Google Earth Engine for detecting urban changes using optical data and machine learning algorithms
- SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
- Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
- A Survey on Self-Supervised Representation Learning
- Food Image Classification and Segmentation with Attention-based Multiple Instance Learning
- Towards Discriminative Representations with Contrastive Instances for Real-Time UAV Tracking
- Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
- Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
- Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
- Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
- Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
- PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation
- AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block
- TurboViT: Generating Fast Vision Transformers via Generative Architecture Search
- Tensor Regression
- ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
- Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm
- Designing an attack-defense game: how to increase robustness of financial transaction models via a competition
- Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
- Targeted Data Augmentation for bias mitigation
- DALNet: A Rail Detection Network Based on Dynamic Anchor Line
- Convoifilter: A case study of doing cocktail party speech recognition
- Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
- Standardized Interpretable Fairness Measures for Continuous Risk Scores
- Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization
- Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images
- How Much Temporal Long-Term Context is Needed for Action Segmentation?
- Exemplar-Free Continual Transformer with Convolutions
- Semantic RGB-D Image Synthesis
- Machine learning assisted exploration for affine Deligne-Lusztig varieties
- MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization
- Careful at Estimation and Bold at Exploration
- Integration of Sentinel-1 and Sentinel-2 data for Earth surface classification using Machine Learning algorithms implemented on Google Earth Engine
- FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning
- GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
- Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection
- CiteTracker: Correlating Image and Text for Visual Tracking
- Using and Abusing Equivariance
- From Mundane to Meaningful: AI's Influence on Work Dynamics -- evidence from ChatGPT and Stack Overflow
- Approaching human 3D shape perception with neurally mappable models
- BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset
- Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
- Network Momentum across Asset Classes
- Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
- ShadowNet for Data-Centric Quantum System Learning
- Test Time Embedding Normalization for Popularity Bias Mitigation
- LEAP: Efficient and Automated Test Method for NLP Software
- PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
- CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation
- Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
- FoX: Formation-aware exploration in multi-agent reinforcement learning
- Quantum-Inspired Machine Learning: a Survey
- Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
- HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
- HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge
- Efficient Last-iterate Convergence Algorithms in Solving Games
- A survey on bias in machine learning research
- Video BagNet: short temporal receptive fields increase robustness in long-term action recognition
- Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process
- Are current long-term video understanding datasets long-term?
- Faster Optimization in S-Graphs Exploiting Hierarchy
- An Effective Transformer-based Contextual Model and Temporal Gate Pooling for Speaker Identification
- Minwise-Independent Permutations with Insertion and Deletion of Features
- LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training
- ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts
- Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks
- Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
- Affordance segmentation of hand-occluded containers from exocentric images
- On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report
- Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis
- LDP-Feat: Image Features with Local Differential Privacy
- Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment
- Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
- Hamiltonian GAN
- DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
- A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
- Masked Cross-image Encoding for Few-shot Segmentation
- SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
- ConcatPlexer: Additional Dim1 Batching for Faster ViTs
- Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views
- Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting
- Automatic Task Parallelization of Dataflow Graphs in ML/DL models
- Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
- MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
- ReFit: Recurrent Fitting Network for 3D Human Recovery
- A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology
- MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation
- Forecasting inflation using disaggregates and machine learning
- Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
- Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration
- Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
- A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks
- SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection
- Domain Generalization via Rationale Invariance
- TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
- Beyond MD17: the reactive xxMD dataset
- Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning
- Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
- LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning
- Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
- Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions
- High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
- NLP-based detection of systematic anomalies among the narratives of consumer complaints
- Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
- ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
- Efficient View Synthesis with Neural Radiance Distribution Field
- Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
- How Expressive are Graph Neural Networks in Recommendation?
- Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection
- LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
- Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
- CAME: Contrastive Automated Model Evaluation
- Classification of the lunar surface pattern by AI architectures: Does AI see a rabbit in the Moon?
- Recursive Video Lane Detection
- Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
- Using Early Exits for Fast Inference in Automatic Modulation Classification
- On the Interpretability of Quantum Neural Networks
- MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
- Video OWL-ViT: Temporally-consistent open-world localization in video
- Fairness Explainability using Optimal Transport with Applications in Image Classification