Papers
Tue 16 May 2023
230 papers
- Generating coherent comic with rich story using ChatGPT and Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?Diffusion models → Diffusion foundations and sampling
- Revisiting the Minimalist Approach to Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- A Method for Training-free Person Image Picture GenerationDiffusion models → Image generation, text-to-image and editing
- Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and VerificationEfficient LLM inference and serving → Speculative decoding
- Mobile User Interface Element Detection Via Adaptively Prompt TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Make-An-Animation: Large-Scale Text-conditional 3D Human Motion GenerationDiffusion models → Video generation
- Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial CoverageOffline RL and imitation learning from data → Offline RL algorithms
- SatLM: Satisfiability-Aided Language Models Using Declarative PromptingLLM reasoning → Reasoning benchmarks and evaluation
- Tailoring Instructions to Student's Learning Levels Boosts Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- StructGPT: A General Framework for Large Language Model to Reason over Structured DataLLM reasoning → Reasoning benchmarks and evaluation
- To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- UOR: Universal Backdoor Attacks on Pre-trained Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationDiffusion models → Discrete and text diffusion
- Discrete Diffusion Probabilistic Models for Symbolic Music GenerationDiffusion models → Audio, speech and music
- Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrogramsKnowledge distillation → Speech and audio distillation
- Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelDiffusion models → Medical imaging and segmentation
- Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian DetectionDiffusion models → Image generation, text-to-image and editing
- Counterfactual Outcome Prediction using Structured State Space ModelState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Lightweight Self-Knowledge Distillation with Multi-source Information FusionKnowledge distillation → General knowledge distillation methods
- CDDM: Channel Denoising Diffusion Models for Wireless CommunicationsDiffusion models → Diffusion for compression and wireless
- A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionDiffusion models → Inverse problems and image restoration
- Weight-Inherited Distillation for Task-Agnostic BERT CompressionKnowledge distillation → Knowledge distillation for LLMs
- An Application of Neutrosophic Sets to Decision Making
- Generative Adversarial Networks for Brain Images Synthesis: A Review
- Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
- Iterative Adversarial Attack on Image-guided Story Ending Generation
- Advising OpenMP Parallelization via a Graph-Based Approach with Transformers
- Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects
- pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting
- Comparison of classifiers in challenge scheme
- How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models
- Understanding of Normal and Abnormal Hearts by Phase Space Analysis and Convolutional Neural Networks
- Cooperation Is All You Need
- Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding
- Spectral Clustering via Orthogonalization-Free Methods
- Energy Loss Prediction in IoT Energy Services
- Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
- CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities
- A Note on Dimensionality Reduction in Deep Neural Networks using Empirical Interpolation Method
- Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning
- Coagent Networks: Generalized and Scaled
- Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks
- A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
- Mimetic Initialization of Self-Attention Layers
- Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites
- Exploring outlooks towards generative AI-based assistive technologies for people with Autism
- Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery
- On Dataset Transferability in Active Learning for Transformers
- Mirages: On Anthropomorphism in Dialogue Systems
- The Ways of Words: The Impact of Word Choice on Information Engagement and Decision Making
- Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
- Score Operator Newton transport
- Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
- A Scalable Walsh-Hadamard Regularizer to Overcome the Low-degree Spectral Bias of Neural Networks
- BSGAN: A Novel Oversampling Technique for Imbalanced Pattern Recognitions
- Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization
- ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
- OpenVR: Teleoperation for Manipulation
- Application-Agnostic Language Modeling for On-Device ASR
- A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
- Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
- ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
- A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging
- Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors
- Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework
- CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning
- ADDSL: Hand Gesture Detection and Sign Language Recognition on Annotated Danish Sign Language
- What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
- Towards Pragmatic Semantic Image Synthesis for Urban Scenes
- Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
- Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
- Generative Table Pre-training Empowers Models for Tabular Prediction
- Applying Machine Learning Analysis for Software Quality Test
- AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
- Understanding 3D Object Interaction from a Single Image
- Osteosarcoma Tumor Detection using Transfer Learning Models
- RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario
- The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation
- Prompt-Tuning Decision Transformer with Preference Ranking
- Wavelet-based Unsupervised Label-to-Image Translation
- torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
- FitMe: Deep Photorealistic 3D Morphable Model Avatars
- SoundStorm: Efficient Parallel Audio Generation
- Faster Federated Learning with Decaying Number of Local SGD Steps
- Addressing computational challenges in physical system simulations with machine learning
- Balancing Risk and Reward: An Automated Phased Release Strategy
- Conditional variational autoencoder with Gaussian process regression recognition for parametric models
- AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
- The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
- Towards Expert-Level Medical Question Answering with Large Language Models
- Large Language Models are Built-in Autoregressive Search Engines
- Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
- Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
- Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes
- Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion
- Boosting Event Extraction with Denoised Structure-to-Text Augmentation
- Identification and Classification of Exoplanets Using Machine Learning Techniques
All 230
- HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
- Inductive Graph Neural Networks for Moving Object Segmentation
- Revisiting Proprioceptive Sensing for Articulated Object Manipulation
- Private Everlasting Prediction
- Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs
- Ray-Patch: An Efficient Querying for Light Field Transformers
- Toward Falsifying Causal Graphs Using a Permutation-Based Test
- Image Reconstruction using Superpixel Clustering and Tensor Completion
- Learning from Aggregated Data: Curated Bags versus Random Bags
- Adapting Sentence Transformers for the Aviation Domain
- Life of PII -- A PII Obfuscation Transformer
- Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing
- EEG-based Sleep Staging with Hybrid Attention
- Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion
- Learning Higher-order Object Interactions for Keypoint-based Video Understanding
- A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
- What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem
- MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics
- NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer
- Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
- SCTracker: Multi-object tracking with shape and confidence constraints
- DLUE: Benchmarking Document Language Understanding
- Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement
- Real-time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction
- Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
- The Hardness of Reasoning about Probabilities and Causality
- Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language
- Content-Adaptive Downsampling in Convolutional Neural Networks
- Efficient Computation of General Modules for ALC Ontologies (Extended Version)
- Contrastive Label Enhancement
- Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers
- Solar Active Region Magnetogram Image Dataset for Studies of Space Weather
- Executive Voiced Laughter and Social Approval: An Explorative Machine Learning Study
- Growing and Serving Large Open-domain Knowledge Graphs
- An Empirical Study on Google Research Football Multi-agent Scenarios
- A sequential transit network design algorithm with optimal learning under correlated beliefs
- A Probabilistic Transformation of Distance-Based Outliers
- MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
- When is an SHM problem a Multi-Task-Learning problem?
- Unwrapping All ReLU Networks
- Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf Segmentation
- About Evaluation of F1 Score for RECENT Relation Extraction System
- A Novel Strategy for Improving Robustness in Computer Vision Manufacturing Defect Detection
- A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions
- Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
- Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
- EXPRESSNET: An Explainable Residual Slim Network for Fingerprint Presentation Attack Detection
- Lp- and Risk Consistency of Localized SVMs
- Capturing Emerging Complexity in Lenia
- Multi-task convolutional neural network for image aesthetic assessment
- Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring
- Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors
- GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
- Constructing and Interpreting Causal Knowledge Graphs from News
- Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token
- Establishing Shared Query Understanding in an Open Multi-Agent System
- One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection
- MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
- Multi-modal Visual Understanding with Prompts for Semantic Information Disentanglement of Image
- Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
- CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
- Improved Type III solar radio burst detection using congruent deep learning models
- Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
- Hybrid and Collaborative Passage Reranking
- Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
- Releasing Inequality Phenomenon in ℓ∞-norm Adversarial Training via Input Gradient Distillation
- OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
- Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions
- UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
- Out-of-Distribution Detection for Adaptive Computer Vision
- A Dictionary-based approach to Time Series Ordinal Classification
- Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
- Latent Distribution Adjusting for Face Anti-Spoofing
- Errors-in-variables Fr'echet Regression with Low-rank Covariate Approximation
- On the Origins of Bias in NLP through the Lens of the Jim Code
- Noise robust neural network architecture
- Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
- Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement
- ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
- HyHTM: Hyperbolic Geometry based Hierarchical Topic Models
- A new node-shift encoding representation for the travelling salesman problem
- Online Continual Learning Without the Storage Constraint
- xPQA: Cross-Lingual Product Question Answering across 12 Languages
- Rounding Meets Approximate Model Counting
- Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning
- Sorting and Hypergraph Orientation under Uncertainty with Predictions
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
- One-shot neural band selection for spectral recovery
- Synthetic data, real errors: how (not) to publish and use synthetic data
- Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
- Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors
- Towards Unifying Multi-Lingual and Cross-Lingual Summarization
- Component Training of Turbo Autoencoders
- PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression
- Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
- CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images
- Towards Speech Dialogue Translation Mediating Speakers of Different Languages
- Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain
- The Weighted M"obius Score: A Unified Framework for Feature Attribution
- Representing states in iterated belief revision
- Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
- Correlation Pyramid Network for 3D Single Object Tracking
- Easy-to-Hard Learning for Information Extraction
- Abnormal Functional Brain Network Connectivity Associated with Alzheimer's Disease
- Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks
- Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences
- Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion
- SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
- Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
- Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences
- Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
- Self-Aware Trajectory Prediction for Safe Autonomous Driving
- Deep ReLU Networks Have Surprisingly Simple Polytopes
- Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
- Deep Ensembling for Perceptual Image Quality Assessment
- Pre-Training to Learn in Context
- Smart Policy Control for Securing Federated Learning Management System
- DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
- Graph Reinforcement Learning for Network Control via Bi-Level Optimization
- Transfer Learning for Causal Effect Estimation
- On Optimal Strategies for Wordle and General Guessing Games
- Is a Video worth n× n Images? A Highly Efficient Approach to Transformer-based Video Question Answering
- One-step learning algorithm selection for classification via convolutional neural networks
- Multi-view MERA Subspace Clustering
- ProtoVAE: Prototypical Networks for Unsupervised Disentanglement
- AAAI 2022 Fall Symposium: System-1 and System-2 realized within the Common Model of Cognition
- The Hessian perspective into the Nature of Convolutional Neural Networks
- A Review of Data-driven Approaches for Malicious Website Detection
- PanelNet: Understanding 360 Indoor Environment via Panel Representation
- Consensus and Subjectivity of Skin Tone Annotation for ML Fairness