Papers
Thu 14 Sep 2023
219 papers
- Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic ModelsDiffusion models → Audio, speech and music
- Retrieval-Augmented Text-to-Audio GenerationRetrieval-augmented generation → Conversational and speech RAG
- AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech EnhancementDiffusion models → Audio, speech and music
- Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition SystemsLLM safety and security → Membership inference attacks
- A Data Source for Reasoning Embodied AgentsLLM reasoning → Spatial and embodied reasoning +1
- Large-Vocabulary 3D Diffusion Model with TransformerDiffusion models → 3D, point cloud and scene generation
- MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Agents: An Open-source Framework for Autonomous Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beta DiffusionDiffusion models → Diffusion foundations and sampling
- Gradient constrained sharpness-aware prompt learning for vision-language modelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- The Rise and Potential of Large Language Model Based Agents: A SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
- VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement LearningOffline RL and imitation learning from data → Real-world robot offline RL
- EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild DataDiffusion models → Audio, speech and music
- What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- PRE: Vision-Language Prompt Learning with Reparameterization EncoderMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Imitation Learning-based Visual Servoing for Tracking Moving ObjectsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Tree of Uncertain Thoughts Reasoning for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Equivariant Data Augmentation for Generalization in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation RecognitionKnowledge distillation → Knowledge distillation for LLMs
- DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarksDiffusion models → Audio, speech and music
- Masked Diffusion with Task-awareness for Procedure Planning in Instructional VideosDiffusion models → Video generation
- Semantic Adversarial Attacks via Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview
- Analysis of frequent trading effects of various machine learning models
- Spec-NeRF: Multi-spectral Neural Radiance Fields
- TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection
- Stability Analysis of Non-Linear Classifiers using Gene Regulatory Neural Network for Biological AI
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
- Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
- When is a Foundation Model a Foundation Model
- TCGF: A unified tensorized consensus graph framework for multi-view representation learning
- Anchor Points: Benchmarking Models with Much Fewer Examples
- TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild
- ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?
- FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems
- Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
- Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing
- Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
- Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
- Padding Aware Neurons
- Bias in News Summarization: Measures, Pitfalls and Corpora
- How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent
- On Prediction Feature Assignment in the Heckman Selection Model
- Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved
- BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
- Interpretability-Aware Vision Transformer
- Depth Estimation from a Single Optical Encoded Image using a Learned Colored-Coded Aperture
- USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models
- Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos
- Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol
- Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation
- CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation
- Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset
- An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
- DiariST: Streaming Speech Translation with Speaker Diarization
- Facial Kinship Verification from remote photoplethysmography
- Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue Evaluation
- An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone
- Leveraging Contextual Information for Effective Entity Salience Detection
- Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition
- Uncertainty quantification for learned ISTA
- M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations
- Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
- Complex-Valued Neural Networks for Data-Driven Signal Processing and Signal Understanding
- TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis
- Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
- Masked Generative Modeling with Enhanced Sampling Scheme
- Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
- An Assessment of ChatGPT on Log Data
- Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
- Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems
- OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
- Unified Human-Scene Interaction via Prompted Chain-of-Contacts
- Looking at words and points with attention: a benchmark for text-to-shape coherence
- ALWOD: Active Learning for Weakly-Supervised Object Detection
- Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
- TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting
- Physically Plausible Full-Body Hand-Object Interaction Synthesis
- Generative Image Dynamics
- Ambiguity-Aware In-Context Learning with Large Language Models
- Improving physics-informed DeepONets with hard constraints
- Choosing a Proxy Metric from Past Experiments
- HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
- A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors
- Some notes concerning a generalized KMM-type optimization method for density ratio estimation
- Scalable Model-Based Gaussian Process Clustering
- mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
- Using network metrics to explore the community structure that underlies movement patterns
- Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
- CiwaGAN: Articulatory information exchange
- Identifying the Group-Theoretic Structure of Machine-Learned Symmetries
- ExpertQA: Expert-Curated Questions and Attributed Answers
- TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation
- MC-NeRF: Multi-Camera Neural Radiance Fields for Multi-Camera Image Acquisition Systems
- Applying Deep Learning to Calibrate Stochastic Volatility Models
- Two Timin': Repairing Smart Contracts With A Two-Layered Approach
- Learning to Warm-Start Fixed-Point Optimization Algorithms
- Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery
- CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
All 219
- Decomposition of linear tensor transformations
- Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis
- Text Classification of Cancer Clinical Trial Eligibility Criteria
- Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
- Communication Efficient Private Federated Learning Using Dithering
- Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?
- The Dynamical Principles of Storytelling
- For A More Comprehensive Evaluation of 6DoF Object Pose Tracking
- Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
- Convergence analysis of online algorithms for vector-valued kernel regression
- Virchow: A Million-Slide Digital Pathology Foundation Model
- Spoken Humanoid Embodied Conversational Agents in Mobile Serious Games: A Usability Assessment
- Variational Quantum Linear Solver enhanced Quantum Support Vector Machine
- Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks
- PROGrasp: Pragmatic Human-Robot Communication for Object Grasping
- Generative AI Text Classification using Ensemble LLM Approaches
- Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion
- DT-NeRF: Decomposed Triplane-Hash Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
- OmnimatteRF: Robust Omnimatte with 3D Background Modeling
- Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
- The complementary roles of non-verbal cues for Robust Pronunciation Assessment
- Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features
- AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks
- PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
- L1-aware Multilingual Mispronunciation Detection Framework
- Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks
- Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
- CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders
- NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
- Causal Entropy and Information Gain for Measuring Causal Control
- Dataset Condensation via Generative Model
- A DenseNet-based method for decoding auditory spatial attention with EEG
- Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text
- deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations
- Assessing the nature of large language models: A caution against anthropocentrism
- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems
- Benchmarking machine learning models for quantum state classification
- Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)
- Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
- Physics-constrained robust learning of open-form partial differential equations from limited and noisy data
- Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation
- ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation
- Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
- High-dimensional Asymptotics of VAEs: Threshold of Posterior Collapse and Dataset-Size Dependence of Rate-Distortion Curve
- Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
- Automatic Data Visualization Generation from Chinese Natural Language Questions
- Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer
- Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement
- Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation
- SwitchGPT: Adapting Large Language Models for Non-Text Outputs
- Road Disease Detection based on Latent Domain Background Feature Separation and Suppression
- Feature Engineering in Learning-to-Rank for Community Question Answering Task
- Learning Quasi-Static 3D Models of Markerless Deformable Linear Objects for Bimanual Robotic Manipulation
- Zero-shot Audio Topic Reranking using Large Language Models
- Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
- Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signals
- C-Pack: Packed Resources For General Chinese Embeddings
- Neuro-Symbolic Recommendation Model based on Logic Query
- Statistically Valid Variable Importance Assessment through Conditional Permutations
- Revisiting Supertagging for Faster HPSG Pasing
- Structure-Preserving Transformers for Sequences of SPD Matrices
- Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer
- Naturalistic Robot Arm Trajectory Generation via Representation Learning
- Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering
- DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
- VerilogEval: Evaluating Large Language Models for Verilog Code Generation
- Towards a universal mechanism for successful deep learning
- Adaptive approximation of monotone functions
- Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning
- SingFake: Singing Voice Deepfake Detection
- A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing
- Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice
- RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
- Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
- Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
- Efficiently Robustify Pre-trained Models
- HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation Methods
- Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering
- Improved Auto-Encoding using Deterministic Projected Belief Networks
- Direct Text to Speech Translation System using Acoustic Units
- Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
- EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
- Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
- Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection
- SC-MAD: Mixtures of Higher-order Networks for Data Augmentation
- Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?
- TensorFlow Chaotic Prediction and Blow Up
- SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
- Research on self-cross transformer model of point cloud change detecter
- DePT: Decoupled Prompt Tuning
- Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
- Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
- Semantic Parsing in Limited Resource Conditions
- Physical Invisible Backdoor Based on Camera Imaging
- JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation through Self-Attention and Multiscale
- ChatGPT MT: Competitive for High- (but not Low-) Resource Languages
- A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
- Client-side Gradient Inversion Against Federated Learning from Poisoning
- PromptASR for contextualized ASR with controllable style
- CPPF: A contextual and post-processing-free model for automatic speech recognition
- Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
- FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
- Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
- Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
- Multi-Grade Deep Learning for Partial Differential Equations with Applications to the Burgers Equation
- HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
- DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
- Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
- EnCodecMAE: Leveraging neural codecs for universal audio representation learning
- Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images
- VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
- An Interactive Framework for Profiling News Media Sources
- Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning
- Less is More for Long Document Summary Evaluation by LLMs
- Beta quantile regression for robust estimation of uncertainty in the presence of outliers
- Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation
- The kernel-balanced equation for deep neural networks
- Hodge-Aware Contrastive Learning
- Judging a video by its bitstream cover