Papers
Sat 11 May 2024
100 papers
- Survey on Reasoning Capabilities and Accessibility of Large Language Models Using Biology-related QuestionsLLM reasoning → Clinical and biomedical applications
- Prompt-guided Precise Audio Editing with Diffusion ModelsDiffusion models → Audio, speech and music
- RAGE Against the Machine: Retrieval-Augmented LLM ExplanationsRetrieval-augmented generation → RAG pipeline design and evaluation
- Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech ConversionDiffusion models → Audio, speech and music
- AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss WeightingKnowledge distillation → General knowledge distillation methods
- Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITALLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systemsDiffusion models → Diffusion foundations and sampling
- Auditing an Automatic Grading Model with deep Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion PriorDiffusion models → Inverse problems and image restoration
- DTMamba : Dual Twin Mamba for Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You ThoughtLLM safety and security → Membership inference attacks
- Stealthy Imitation: Reward-guided Environment-free Policy StealingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question AnsweringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsDeep reinforcement learning methods → Deep RL algorithms and representations
- Non-confusing Generation of Customized Concepts in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Fairness in Reinforcement Learning: A SurveyDeep reinforcement learning methods → RL for games and combinatorial optimization
- AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI AgentsLLM agents and tool use → Software engineering coding agents
- Aladdin: Joint Placement and Scaling for SLO-Aware LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
- A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities
- QMViT: A Mushroom is worth 16x16 Words
- DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation
- ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency
- Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics
- A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
- Robot Detection System 1: Front-Following
- CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
- Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre
- Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning
- Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?
- Interpretable global minima of deep ReLU neural networks on sequentially separable data
- Data-Efficient and Robust Task Selection for Meta-Learning
- T-curator: a trust based curation tool for LOD logs
- Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
- Catastrophe Insurance: An Adaptive Robust Optimization Approach
- Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
- LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust
- Length-Aware Multi-Kernel Transformer for Long Document Classification
- Solving Energy-Independent Density for CT Metal Artifact Reduction via Neural Representation
- RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning
- Predictive Modeling in the Reservoir Kernel Motif Space
- Multi-agent Traffic Prediction via Denoised Endpoint Distribution
- Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce
- A Turkish Educational Crossword Puzzle Generator
- A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks
- Global Motion Understanding in Large-Scale Video Object Segmentation
- Lasso Ridge based XGBoost and Deep_LSTM Help Tennis Players Perform better
- TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization
- Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
- Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
- Bayesian Frequency Estimation Under Local Differential Privacy With an Adaptive Randomized Response Mechanism
- Incorporating Degradation Estimation in Light Field Spatial Super-Resolution
- Fair Graph Representation Learning via Sensitive Attribute Disentanglement
- Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis
- Word-specific tonal realizations in Mandarin
- Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
- Benchmarking Cross-Domain Audio-Visual Deception Detection
- GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts
- Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
- ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks
- Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction
- RoTHP: Rotary Position Embedding-based Transformer Hawkes Process
- AraSpell: A Deep Learning Approach for Arabic Spelling Correction
- Fractals as Pre-training Datasets for Anomaly Detection and Localization
- Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
- Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
- A Primer for Preferential Non-Monotonic Propositional Team Logics
- A Machine Learning-based Approach for Solving Recurrence Relations and its use in Cost Analysis of Logic Programs
- A De-singularity Subgradient Approach for the Extended Weber Location Problem
- ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots
- Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation
- Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Images
- Learning Monocular Depth from Focus with Event Focal Stack
- Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
- PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
- EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection
- Automating Thematic Analysis: How LLMs Analyse Controversial Topics
- Super-Resolving Blurry Images with Events
- Design Requirements for Human-Centered Graph Neural Network Explanations
- High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation
- Automating Creativity
- Replication Study and Benchmarking of Real-Time Object Detection Models
- Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator
- Finding structure in logographic writing with library learning
- Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity
- UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
- Causal Inference from Slowly Varying Nonstationary Processes
- ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation
- TacoERE: Cluster-aware Compression for Event Relation Extraction
- FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
- Event GDR: Event-Centric Generative Document Retrieval
- Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
- EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
- LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
- eCAR: edge-assisted Collaborative Augmented Reality Framework
- Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
- Disrupting Style Mimicry Attacks on Video Imagery
- Reimplementation of Learning to Reweight Examples for Robust Deep Learning