Papers
Sun 7 Jan 2024
94 papers
- The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning PipelineDiffusion models → Robustness, privacy and adversarial aspects +1
- Agent AI: Surveying the Horizons of Multimodal InteractionLLM agents and tool use → Multimodal and embodied agents
- Quantifying stability of non-power-seeking in artificial agentsLLM agents and tool use → Agent threats, guardrails and governance
- ROIC-DM: Robust Text Inference and Classification via Diffusion ModelDiffusion models → Discrete and text diffusion
- Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast ConvergenceDeep reinforcement learning methods → RL for energy, networks and operations
- Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker NaturalnessDiffusion models → Audio, speech and music
- Long Context Compression with Activation BeaconEfficient LLM inference and serving → Prompt and context compression
- SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image EditingDiffusion models → Image generation, text-to-image and editing
- Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and ProspectsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GRAM: Global Reasoning for Multi-Page VQALLM reasoning → Multimodal reasoning
- Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
- AI incidents and 'networked trouble': The case for a research agenda
- Can generative AI and ChatGPT outperform humans on cognitive-demanding problem-solving tasks in science?
- Information Retrieval and Classification of Real-Time Multi-Source Hurricane Evacuation Notices
- The NPU-ASLP-LiAuto System Description for Visual Speech Recognition in CNVSRC 2023
- Deep Learning Based Cyberbullying Detection in Bangla Language
- Deep OFDM Channel Estimation: Capturing Frequency Recurrence
- RHOBIN Challenge: Reconstruction of Human Object Interaction
- On The Potential of The Fractal Geometry and The CNNs Ability to Encode it
- CCNETS: A Modular Causal Learning Framework for Pattern Recognition in Imbalanced Datasets
- Expanding Horizons in HCI Research Through LLM-Driven Qualitative Analysis
- Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
- Web Neural Network with Complete DiGraphs
- SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
- Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
- ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback
- Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired people
- InFoBench: Evaluating Instruction Following Ability in Large Language Models
- Disentangled Neural Relational Inference for Interpretable Motion Prediction
- Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
- Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
- Building Efficient and Effective OpenQA Systems for Low-Resource Languages
- Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
- Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
- Evaluating and Personalizing User-Perceived Quality of Text-to-Speech Voices for Delivering Mindfulness Meditation with Different Physical Embodiments
- Damped Gauss Newton Search for Multi Metric Hyperparameter Optimization
- Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder
- Effective Benchmarks for Optical Turbulence Modeling
- α-HMM: A Graphical Model for RNA Folding
- Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
- GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
- Privacy-Preserving in Blockchain-based Federated Learning Systems
- CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
- NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds
- Is there really a Citation Age Bias in NLP?
- SeTformer is What You Need for Vision and Language
- Transfer the linguistic representations from TTS to accent conversion with non-parallel data
- Physics-informed Neural Networks for Encoding Dynamics in Real Physical Systems
- A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation
- Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
- Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
- RoBERTurk: Adjusting RoBERTa for Turkish
- CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM
- DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
- ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering
- Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production
- EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
- Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
- Pre-insertion resistors temperature prediction based on improved WOA-SVR
- A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
- Data-Driven Subsampling in the Presence of an Adversarial Actor
- Uncertainty Quantification on Clinical Trial Outcome Prediction
- ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge
- PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
- FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
- Efficient Test Data Generation for MC/DC with OCL and Search
- Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content
- The Dual Impact of Virtual Reality: Examining the Addictive Potential and Therapeutic Applications of Immersive Media in the Metaverse
- BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning
- Computational Argumentation-based Chatbots: a Survey
- Optimization Over Trained Neural Networks: Taking a Relaxing Walk
- A Classification of Critical Configurations for any Number of Projective Views
- See360: Novel Panoramic View Interpolation
- On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach
- MLCA-AVSR: Multi-Layer Cross Attention Fusion based Audio-Visual Speech Recognition
- Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
- Escalation Risks from Language Models in Military and Diplomatic Decision-Making
- Bilateral Reference for High-Resolution Dichotomous Image Segmentation
- Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
- Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example
- Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
- Deep Learning-based Image and Video Inpainting: A Survey
- Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks
- LLMs for Robotic Object Disambiguation
- Grimoire is All You Need for Enhancing Large Language Models
- conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks
- Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
- LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
- Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
- In-Database Data Imputation
- Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
- An Investigation of Large Language Models for Real-World Hate Speech Detection
- Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection