Papers
Fri 22 Sep 2023
203 papers
- Unbiased Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
- Poster: Self-Supervised Quantization-Aware Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking DataLLM reasoning → Chain-of-thought reasoning for driving +1
- Effective Distillation of Table-based Reasoning Ability from LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Invisible Watermarking for Audio Generation Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Large Language Models Are Also Good Prototypical Commonsense ReasonersLLM reasoning → Reasoning benchmarks and evaluation
- MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance SegmentationDiffusion models → Medical imaging and segmentation
- Robotic Offline RL from Internet Videos via Value-Function Pre-TrainingOffline RL and imitation learning from data → Real-world robot offline RL
- GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot ManipulatorsOffline RL and imitation learning from data → Robot manipulation imitation learning
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsLLM reasoning → Reasoning for agents, planning and code
- Trusta: Reasoning about Assurance Cases with Formal Methods and Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial AttacksKnowledge distillation → Federated, robust and private distillation
- Diffusion Augmentation for Sequential RecommendationDiffusion models → Diffusion recommenders
- Improving Generalization in Game Agents with Data Augmentation in Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech SynthesisDiffusion models → Audio, speech and music
- Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics GapsOffline RL and imitation learning from data → Offline RL algorithms
- Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Triple-View Knowledge Distillation for Semi-Supervised Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery
- Targeted Activation Penalties Help CNNs Ignore Spurious Signals
- Predictive AI for SME and Large Enterprise Financial Performance Management
- Wave-informed dictionary learning for high-resolution imaging in complex media
- Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
- Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning
- A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares
- ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution
- PopBERT. Detecting populism and its host ideologies in the German Bundestag
- Language Models for Business Optimisation with a Real World Case Study in Production Scheduling
- MISFIT-V: Misaligned Image Synthesis and Fusion using Information from Thermal and Visual
- Assessing the Impact of Personality on Affective States from Video Game Communication
- The LHCb ultra-fast simulation option, Lamarr: design and validation
- Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
- Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios
- A Practical Survey on Zero-shot Prompt Design for In-context Learning
- Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
- ClusterFormer: Clustering As A Universal Visual Learner
- Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients
- Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
- Spatial-frequency channels, shape bias, and adversarial robustness
- Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation
- Visualizing Topological Importance: A Class-Driven Approach
- Document Understanding for Healthcare Referrals
- Statistical Hypothesis Testing for Information Value (IV)
- Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
- Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
- AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures
- BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
- Investigating Efficient Deep Learning Architectures For Side-Channel Attacks on AES
- Flow Factorized Representation Learning
- How to train your VAE
- Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
- Cardiovascular Disease Risk Prediction via Social Media
- Trading-off Mutual Information on Feature Aggregation for Face Recognition
- Contextual Emotion Estimation from Image Captions
- Global Deep Forecasting with Patient-Specific Pharmacokinetics
- Understanding Calibration of Deep Neural Networks for Medical Image Classification
- Insights from an OTTR-centric Ontology Engineering Methodology
- AntiBARTy Diffusion for Property Guided Antibody Design
- Data is often loadable in short depth: Quantum circuits from tensor networks for finance, images, fluids, and proteins
- OpportunityFinder: A Framework for Automated Causal Inference
- Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
- Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
- Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
- Topological Data Mapping of Online Hate Speech, Misinformation, and General Mental Health: A Large Language Model Based Study
- Zero-Shot Object Counting with Language-Vision Models
- Multiple Independent DE Optimizations to Tackle Uncertainty and Variability in Demand in Inventory Management
- Computational Natural Philosophy: A Thread from Presocratics through Turing to ChatGPT
- Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
- Learning algorithms for identification of whisky using portable Raman spectroscopy
- E(2)-Equivariant Graph Planning for Navigation
- NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields
- Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
- Memory-augmented conformer for improved end-to-end long-form ASR
- Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading
- A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection
- Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
- Understanding Deep Gradient Leakage via Inversion Influence Functions
- Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design
- Performance Analysis of UNet and Variants for Medical Image Segmentation
- Deep3DSketch+: Rapid 3D Modeling from Single Free-hand Sketches
- Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
- Expressive variational quantum circuits provide inherent privacy in federated learning
- Audience-specific Explanations for Machine Translation
- Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models
- Point Cloud Network: An Order of Magnitude Improvement in Linear Layer Parameter Count
- Deep learning probability flows and entropy production rates in active matter
- License Plate Recognition Based On Multi-Angle View Model
- Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
- PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN
- Detect Everything with Few Examples
- Nested Event Extraction upon Pivot Element Recogniton
- On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures
- Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation
- Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
- Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models
- Frustrated with Code Quality Issues? LLMs can Help!
- TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
All 203
- On Separate Normalization in Self-supervised Transformers
- BayesDLL: Bayesian Deep Learning Library
- A matter of attitude: Focusing on positive and active gradients to boost saliency maps
- KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle
- ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction
- Affect Recognition in Conversations Using Large Language Models
- FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
- Gravity Network for end-to-end small lesion detection
- AnglE-optimized Text Embeddings
- Accurate and Fast Compressed Video Captioning
- Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image Classification
- Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts
- Associative Transformer
- Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration
- Cross-Modal Translation and Alignment for Survival Analysis
- Ensemble Differential Evolution with Simulation-Based Hybridization and Self-Adaptation for Inventory Management Under Uncertainty
- DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks
- SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events
- Reward Function Design for Crowd Simulation via Reinforcement Learning
- Model-based causal feature selection for general response types
- AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling
- Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
- OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
- A Spectral Theory of Neural Prediction and Alignment
- Doubly Robust Proximal Causal Learning for Continuous Treatments
- Domain Adaptive Few-Shot Open-Set Learning
- StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors
- ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT
- Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views
- Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning
- Deepfake audio as a data augmentation technique for training automatic speech to text transcription models
- NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
- EMS: 3D Eyebrow Modeling from Single-view Images
- LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
- WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference
- An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods
- Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models
- S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action Recognition
- Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
- Towards an MLOps Architecture for XAI in Industrial Applications
- Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
- Optimal Dynamic Fees for Blockchain Resources
- OpenAi's GPT4 as coding assistant
- Defeasible Reasoning with Knowledge Graphs
- In-context Interference in Chat-based Large Language Models
- Transformer-based Image Compression with Variable Image Quality Objectives
- Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition
- Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences
- The Mathematical Game
- PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion
- Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm
- Breiman meets Bellman: Non-Greedy Decision Trees with MDPs
- mixed attention auto encoder for multi-class industrial anomaly detection
- Semantic similarity prediction is better than other semantic similarity measures
- Recurrent Temporal Revision Graph Networks
- Enhancing Graph Representation of the Environment through Local and Cloud Computation
- AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
- eWand: A calibration framework for wide baseline frame-based and event-based camera systems
- QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing
- TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population
- JCoLA: Japanese Corpus of Linguistic Acceptability
- Vision Transformers for Computer Go
- On Sparse Modern Hopfield Model
- How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
- Langevin Quasi-Monte Carlo
- OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
- Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
- Exploiting Modality-Specific Features For Multi-Modal Manipulation Detection And Grounding
- Natural revision is contingently-conditionalized revision
- FP-PET: Large Model, Multiple Loss And Focused Practice
- The More Similar, the Better? Associations between Latent Semantic Similarity and Emotional Experiences Differ across Conversation Contexts
- RHINO: Regularizing the Hash-based Implicit Neural Representation
- Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects
- CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation
- Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection
- Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor
- Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?
- Decision Fusion Network with Perception Fine-tuning for Defect Classification
- Sequential Action-Induced Invariant Representation for Reinforcement Learning
- A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe
- Construction contract risk identification based on knowledge-augmented language model
- DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients
- Data-driven Preference Learning Methods for Sorting Problems with Multiple Temporal Criteria
- Learning to Diversify Neural Text Generation via Degenerative Model
- Zero-Regret Performative Prediction Under Inequality Constraints
- Unlocking Model Insights: A Dataset for Automated Model Card Generation
- Multiply Robust Federated Estimation of Targeted Average Treatment Effects
- DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image
- Improving Machine Learning Robustness via Adversarial Training
- BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
- Sampling-Frequency-Independent Universal Sound Separation
- From Text to Trends: A Unique Garden Analytics Perspective on the Future of Modern Agriculture
- SPION: Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling
- Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search
- Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data
- Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
- Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
- A Study on Learning Social Robot Navigation with Multimodal Perception
- Machine Learning Meets Advanced Robotic Manipulation
- Invariant Learning via Probability of Sufficient and Necessary Causes
- Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models
- Automatic Answerability Evaluation for Question Generation
- Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation