Papers
Wed 20 Sep 2023
230 papers
- SCREWS: A Modular Framework for Reasoning with RevisionsLLM reasoning → Test-time compute and efficient thinking
- "It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting RobotsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Latent Diffusion Models for Structural Component DesignDiffusion models → 3D, point cloud and scene generation
- Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler ChallengeLLM safety and security → Vision-language and text-to-image safety
- Light Field Diffusion for Single-View Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- DreamLLM: Synergistic Multimodal Comprehension and CreationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FreeU: Free Lunch in Diffusion U-NetDiffusion models → Diffusion foundations and sampling
- Text2Reward: Reward Shaping with Language Models for Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial IntelligenceLLM agents and tool use → Social simulation and multi-agent debate
- Weight Averaging Improves Knowledge Distillation under Domain ShiftKnowledge distillation → General knowledge distillation methods
- You Only Look at Screens: Multimodal Chain-of-Action AgentsLLM agents and tool use → GUI and mobile agents
- Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical ModelsDiffusion models → Diffusion foundations and sampling
- EDMP: Ensemble-of-costs-guided Diffusion for Motion PlanningDiffusion models → Diffusion and flow policies for robotics
- Discuss Before Moving: Visual Language Navigation via Multi-expert DiscussionsWorld models → World models for navigation
- Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Face Aging via Diffusion-based EditingDiffusion models → Image generation, text-to-image and editing
- Speak While You Think: Streaming Speech Synthesis During Text GenerationLLM reasoning → Audio-language model reasoning
- Are Large Language Models Really Robust to Word-Level Perturbations?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Investigating Personalization Methods in Text to Music GenerationDiffusion models → Audio, speech and music
- Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image GenerationKnowledge distillation → Knowledge distillation for LLMs
- PSDiff: Diffusion Model for Person Search with Iterative and Collaborative RefinementDiffusion models → Image generation, text-to-image and editing
- Design of Chain-of-Thought in Math Problem SolvingLLM reasoning → Prompting and chain-of-thought reasoning
- Score Mismatching for Generative ModelingDiffusion models → Diffusion foundations and sampling
- Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support
- AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning
- GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction
- Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization
- Fairness Hub Technical Briefs: AUC Gap
- SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
- Semi-supervised News Discourse Profiling with Contrastive Learning
- RAI4IoE: Responsible AI for Enabling the Internet of Energy
- LLM Guided Inductive Inference for Solving Compositional Problems
- Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
- Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework
- Federated Learning with Neural Graphical Models
- A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
- Generative AI in Mafia-like Game Simulation
- Popularity Degradation Bias in Local Music Recommendation
- Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
- Towards Effective Disambiguation for Machine Translation with Large Language Models
- Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
- Neural Image Compression Using Masked Sparse Visual Representation
- Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions
- Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks
- Orbital AI-based Autonomous Refuelling Solution
- Potential and limitations of random Fourier features for dequantizing quantum machine learning
- An Evaluation of Machine Learning Approaches for Early Diagnosis of Autism Spectrum Disorder
- Attentive VQ-VAE
- A survey on the semantics of sequential patterns with negation
- GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Multi-Human View Synthesis
- Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
- Statistical Complexity of Quantum Learning
- Hate speech detection in algerian dialect using deep learning
- Hand Gesture Recognition with Two Stage Approach Using Transfer Learning and Deep Ensemble Learning
- Dataset Factory: A Toolchain For Generative Computer Vision Datasets
- Sentence Attention Blocks for Answer Grounding
- Continuous Levels of Detail for Light Field Networks
- CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches
- SpeechAlign: a Framework for Speech Translation Alignment Evaluation
- Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization
- Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
- Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
- BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
- SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models
- Hierarchical reinforcement learning with natural language subgoals
- Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
- EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
- Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction
- TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
- Likelihood-based Sensor Calibration using Affine Transformation
- RMT: Retentive Networks Meet Vision Transformers
- Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning
- Chain-of-Verification Reduces Hallucination in Large Language Models
- Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
- Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs
- Creating walls to avoid unwanted points in root finding and optimization
- Multi-view Fuzzy Representation Learning with Rules based Model
- Model-free tracking control of complex dynamical trajectories with machine learning
- Multi-Label Takagi-Sugeno-Kang Fuzzy System
- Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
- AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition
- Digital twins of nonlinear dynamical systems: A perspective
- Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
- Using deep learning to construct stochastic local search SAT solvers with performance bounds
- Distribution and volume based scoring for Isolation Forests
- SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
- Signature Activation: A Sparse Signal View for Holistic Saliency
- Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction
- A Systematic Review of Few-Shot Learning in Medical Imaging
- Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
- CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration
- KOSMOS-2.5: A Multimodal Literate Model
- CNNs for JPEGs: A Study in Computational Cost
- Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation
- Transformers versus LSTMs for electronic trading
- Safurai 001: New Qualitative Approach for Code LLM Evaluation
- Long-Form End-to-End Speech Translation via Latent Alignment Segmentation
- Studying Lobby Influence in the European Parliament
All 230
- Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff
- Preconditioned Federated Learning
- Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)
- Dynamic Hand Gesture-Featured Human Motor Adaptation in Tool Delivery using Voice Recognition
- Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM
- 3D Face Reconstruction: the Road to Forensics
- A Comprehensive Survey on Rare Event Prediction
- Self-supervised learning unveils change in urban housing from street-level images
- C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters
- GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
- Using Property Elicitation to Understand the Impacts of Fairness Regularizers
- Article Classification with Graph Neural Networks and Multigraphs
- TRAVID: An End-to-End Video Translation Framework
- You can have your ensemble and run it too -- Deep Ensembles Spread Over Time
- Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
- Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition
- How to turn your camera into a perfect pinhole model
- DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
- WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
- Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
- Dynamic Pricing of Applications in Cloud Marketplaces using Game Theory
- A Competition-based Pricing Strategy in Cloud Markets using Regret Minimization Techniques
- Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features
- FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
- Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
- Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
- A Cost-Aware Mechanism for Optimized Resource Provisioning in Cloud Computing
- CPLLM: Clinical Prediction with Large Language Models
- Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information
- Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
- Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
- The Wizard of Curiosities: Enriching Dialogues with Fun Facts
- Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
- Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information
- Open-endedness induced through a predator-prey scenario using modular robots
- Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework
- Grounded Complex Task Segmentation for Conversational Assistants
- StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
- From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
- Sequence-to-Sequence Spanish Pre-trained Language Models
- TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
- The Scenario Refiner: Grounding subjects in images at the morphological level
- Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
- Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
- Grassroots Operator Search for Model Edge Adaptation
- Colour Passing Revisited: Lifted Model Construction with Commutative Factors
- OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
- ChatGPT-4 as a Tool for Reviewing Academic Books in Spanish
- Towards Robust Few-shot Point Cloud Semantic Segmentation
- Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
- Leveraging Diversity in Online Interactions
- Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
- Automatic Bat Call Classification using Transformer Networks
- Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering
- A Model-Based Machine Learning Approach for Assessing the Performance of Blockchain Applications
- Using Artificial Intelligence for the Automation of Knitting Patterns
- The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
- When to Trust AI: Advances and Challenges for Certification of Neural Networks
- RHALE: Robust and Heterogeneity-aware Accumulated Local Effects
- Long-tail Augmented Graph Contrastive Learning for Recommendation
- Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
- AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
- Assessment of Pre-Trained Models Across Languages and Grammars
- Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation
- Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images
- CNN-based local features for navigation near an asteroid
- ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement
- Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry
- Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization
- GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
- GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
- Prototype of a robotic system to assist the learning process of English language with text-generation through DNN
- More complex encoder is not all you need
- Shape Anchor Guided Holistic Indoor Scene Understanding
- Contrastive Pseudo Learning for Open-World DeepFake Attribution
- Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
- Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
- Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches
- BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction
- PRAT: PRofiling Adversarial aTtacks
- Self-supervised Domain-agnostic Domain Adaptation for Satellite Images
- AttentionMix: Data augmentation method that relies on BERT attention mechanism
- Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
- A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making
- Delays in Reinforcement Learning
- K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
- Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
- Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval
- Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
- Embed-Search-Align: DNA Sequence Alignment using Transformer Models
- Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning
- Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation
- Visual Question Answering in the Medical Domain
- Weak Supervision for Label Efficient Visual Bug Detection
- Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
- InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
- Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection
- Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning
- UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt
- Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness
- XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
- fakenewsbr: A Fake News Detection Platform for Brazilian Portuguese
- Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
- Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks
- Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks
- Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
- Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters
- Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
- CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration
- Scalable Acceleration for Classification-Based Derivative-Free Optimization
- The Topology and Geometry of Neural Representations
- Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
- Information Leakage from Data Updates in Machine Learning Models
- Conformalized Multimodal Uncertainty Regression and Reasoning
- 3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images
- ModelGiF: Gradient Fields for Model Functional Distance
- Controllable Dynamic Appearance for Neural 3D Portraits
- STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
- It's Simplex! Disaggregating Measures to Improve Certified Robustness
- PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
- Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
- COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
- SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
- Is GPT4 a Good Trader?
- Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions
- Towards Data-centric Graph Machine Learning: Review and Outlook
- PAGER: A Framework for Failure Analysis of Deep Regression Models
- Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
- SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization
- SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics