Papers
Tue 25 Jul 2023
208 papers
- WebArena: A Realistic Web Environment for Building Autonomous AgentsLLM agents and tool use → Web, search, and research agents
- Offline Reinforcement Learning with On-Policy Q-Function RegularizationOffline RL and imitation learning from data → Offline RL algorithms
- Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark RemedyLLM safety and security → Watermarking generated content and models
- Is GPT a Computational Model of Emotion? Detailed AnalysisLLM reasoning → Audio-language model reasoning
- Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Composite Diffusion | whole >= Sigma partsDiffusion models → Image generation, text-to-image and editing
- ARB: Advanced Reasoning Benchmark for Large Language ModelsLLM reasoning → Mathematical reasoning
- GPT-3 Models are Few-Shot Financial ReasonersLLM reasoning → Reasoning for agents, planning and code
- XDLM: Cross-lingual Diffusion Language Model for Machine TranslationDiffusion models → Discrete and text diffusion
- Not with my name! Inferring artists' names of input strings employed by Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature AttributionsLLM reasoning → Prompting and chain-of-thought reasoning
- Current Methods for Drug Property Prediction in the Real World
- Use Scenarios & Practical Examples of AI Use in Education
- Reinforcement Learning -based Adaptation and Scheduling Methods for Multi-source DASH
- Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach
- Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization
- Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning
- Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization
- GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
- Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints
- A large language model-assisted education tool to provide feedback on open-ended responses
- ECG classification using Deep CNN and Gramian Angular Field
- A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM
- Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
- Fairness Improvement with Multiple Protected Attributes: How Far Are We?
- Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models
- GNN4FR: A Lossless GNN-based Federated Recommendation Framework
- Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods
- Trustworthiness of Children Stories Generated by Large Language Models
- A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem
- 2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
- Word Sense Disambiguation as a Game of Neurosymbolic Darts
- When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
- EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
- Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations
- How Can Large Language Models Help Humans in Design and Manufacturing?
- DBGSA: A Novel Data Adaptive Bregman Clustering Algorithm
- Forecasting, capturing and activation of carbon-dioxide (CO2): Integration of Time Series Analysis, Machine Learning, and Material Design
- Piecewise Linear Functions Representable with Infinite Width Shallow ReLU Neural Networks
- Synthesis of Procedural Models for Deterministic Transition Systems
- Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
- Explainable Disparity Compensation for Efficient Fair Ranking
- Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
- Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT
- Learning to Design Analog Circuits to Meet Threshold Specifications
- On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
- Exploring the Sharpened Cosine Similarity
- SplitFed resilience to packet loss: Where to split, that is the question
- MAEA: Multimodal Attribution for Embodied AI
- CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
- Scaling Integer Arithmetic in Probabilistic Programs
- Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo Line Search
- ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features
- Fitting Auditory Filterbanks with Multiresolution Neural Networks
- Gradient-Based Spectral Embeddings of Random Dot Product Graphs
- ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
- How to Scale Your EMA
- Source Condition Double Robust Inference on Functionals of Inverse Problems
- Histogram Layer Time Delay Neural Networks for Passive Sonar Classification
- The GANfather: Controllable generation of malicious activity to improve defence systems
- An Empirical Study on Bugs Inside PyTorch: A Replication Study
- Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations
- Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach
- E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
- ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
- A real-time material breakage detection for offshore wind turbines based on improved neural network algorithm
- Sobolev Space Regularised Pre Density Models
- Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor
- UPREVE: An End-to-End Causal Discovery Benchmarking System
- PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose Estimation
- Solution Path of Time-varying Markov Random Fields with Discrete Regularization
- ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN
- mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
- Foundational Models Defining a New Era in Vision: A Survey and Outlook
- Exploit the Leak: Understanding Risks in Biometric Matchers
- FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
- Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions
- Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice
- Benchmarking and Analyzing Generative Data for Visual Recognition
- Evaluating Large Language Models for Radiology Natural Language Processing
- The Visual Language of Fabrics
- High Probability Analysis for Non-Convex Stochastic Optimization with Clipping
- RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
- Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
- A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check
- Personal Protective Equipment Detection in Extreme Construction Conditions
- QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models
- Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
- Safety Margins for Reinforcement Learning
- Optical Flow boosts Unsupervised Localization and Segmentation
- Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction
- Contributions to the Improvement of Question Answering Systems in the Biomedical Domain
- Scaling up machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points
- RecursiveDet: End-to-End Region-based Recursive Object Detection
- AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling
- Object-based Probabilistic Similarity Evidence of Sparse Latent Features from Fully Convolutional Networks
- Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
- Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
- Settling the Sample Complexity of Online Reinforcement Learning
- Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)
All 208
- Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys
- Reinterpreting survival analysis in the universal approximator age
- PTLp: Partial Transport Lp Distances
- Mystique: Deconstructing SVG Charts for Layout Reuse
- The Impact of Imperfect XAI on Human-AI Decision-Making
- Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
- On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations
- A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
- Node Injection Link Stealing Attack
- Transfer Learning for Portfolio Optimization
- A model for efficient dynamical ranking in networks
- Group Activity Recognition in Computer Vision: A Comprehensive Review, Challenges, and Future Perspectives
- Model Calibration in Dense Classification with Adaptive Label Perturbation
- INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
- Spectrum-guided Multi-granularity Referring Video Object Segmentation
- Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
- Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
- Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
- FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
- Towards Long-Term predictions of Turbulence using Neural Operators
- HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
- Continuous Time Evidential Distributions for Irregular Time Series
- Deep Reinforcement Learning for Robust Goal-Based Wealth Management
- Finding Money Launderers Using Heterogeneous Graph Neural Networks
- Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction
- Duet: efficient and scalable hybriD neUral rElation undersTanding
- NormAUG: Normalization-guided Augmentation for Domain Generalization
- Cos R-CNN for Online Few-shot Object Detection
- Rational kernel-based interpolation for complex-valued frequency response functions
- Combinatorial Auctions and Graph Neural Networks for Local Energy Flexibility Markets
- Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation
- Integrating processed-based models and machine learning for crop yield prediction
- Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
- Fundamental causal bounds of quantum random access memories
- Weakly-supervised 3D Pose Transfer with Keypoints
- Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results
- A behavioural transformer for effective collaboration between a robot and a non-stationary human
- Network Traffic Classification based on Single Flow Time Series Analysis
- Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization
- An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
- A signal processing interpretation of noise-reduction convolutional neural networks
- Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
- Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations
- On the Learning Dynamics of Attention Networks
- Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
- Towards Resolving Word Ambiguity with Word Embeddings
- Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning
- Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation
- The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking
- Towards Bridging the Digital Language Divide
- Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons
- Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space
- BotHawk: An Approach for Bots Detection in Open Source Software Projects
- Predicting Code Coverage without Execution
- Scaff-PD: Communication Efficient Fair and Robust Federated Learning
- Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
- Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
- Submodular Reinforcement Learning
- Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
- Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
- Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
- Pay Attention to What You Need
- 3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
- Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior
- High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
- Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
- Prior Based Online Lane Graph Extraction from Single Onboard Camera Image
- Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
- Feature Importance Measurement based on Decision Tree Sampling
- The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
- Learning Autonomous Ultrasound via Latent Task Representation and Robotic Skills Adaptation
- Unmasking Anomalies in Road-Scene Segmentation
- Mitigating Cross-client GANs-based Attack in Federated Learning
- CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer
- QuIP: 2-Bit Quantization of Large Language Models With Guarantees
- Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception
- An Intent Taxonomy of Legal Case Retrieval
- Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
- Modify Training Directions in Function Space to Reduce Generalization Error
- High-Resolution Volumetric Reconstruction for Clothed Humans
- CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
- Unbiased Weight Maximization
- LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
- Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization
- Federated Split Learning with Only Positive Labels for resource-constrained IoT environment
- GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition
- Structural Credit Assignment with Coordinated Exploration
- Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
- GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
- Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering
- Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition
- Fashion Matrix: Editing Photos by Just Talking
- RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
- Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation
- Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
- Strivec: Sparse Tri-Vector Radiance Fields
- Multilevel Large Language Models for Everyone
- One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
- A Primer on the Data Cleaning Pipeline
- Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling
- Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras
- FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning
- Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
- Transferability of Graph Neural Networks using Graphon and Sampling Theories
- An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO
- Counterfactual Explanation Policies in RL
- Digital Emotion Regulation on Social Media
- Neural Memory Decoding with EEG Data and Representation Learning