Papers
Fri 1 Dec 2023
232 papers
- Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank ExpertsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Enhancing Diffusion Models with 3D Perspective Geometry ConstraintsDiffusion models → 3D, point cloud and scene generation
- Nash Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Grounding Everything: Emerging Localization Properties in Vision-Language TransformersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- 3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and EditingDiffusion models → Audio, speech and music
- DeepCache: Accelerating Diffusion Models for FreeDiffusion models → Diffusion foundations and sampling
- Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolutionDiffusion models → Inverse problems and image restoration
- Beyond First-Order Tweedie: Solving Inverse Problems using Latent DiffusionDiffusion models → Inverse problems and image restoration
- RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion ModelsDiffusion models → Video generation
- ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual PromptsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VideoBooth: Diffusion-based Video Generation with Image PromptsDiffusion models → Video generation
- Context Retrieval via Normalized Contextual Latent Interaction for Conversational AgentLLM agents and tool use → Agent memory systems
- Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model ResponsesLLM reasoning → Reasoning benchmarks and evaluation
- Deep Unlearning: Fast and Efficient Gradient-free Approach to Class ForgettingLLM safety and security → Machine unlearning
- Mamba: Linear-Time Sequence Modeling with Selective State SpacesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery GamesLLM agents and tool use → Reinforcement learning for LLM agents
- LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion ModelsWorld models → Video-generation world models and simulators +1
- Domain Adaptive Imitation Learning with Visual ObservationOffline RL and imitation learning from data → Imitation learning methods
- Dolphins: Multimodal Language Model for DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Vision-Language Models Learn Super Images for Efficient Partially Relevant Video RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- LinguaLinked: A Distributed Large Language Model Inference System for Mobile DevicesEfficient LLM inference and serving → Serving systems and request scheduling
- Text-Guided 3D Face Synthesis -- From Generation to EditingDiffusion models → 3D, point cloud and scene generation
- On Exploring the Reasoning Capability of Large Language Models with Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Agent-OM: Leveraging LLM Agents for Ontology MatchingLLM agents and tool use → Web, search, and research agents
- Mark My Words: Analyzing and Evaluating Language Model WatermarksLLM safety and security → Watermarking generated content and models
- Sample Efficient Preference Alignment in LLMs via Active ExplorationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Location Sensitive Embedding for Knowledge Graph Reasoning
- Knowledge Graph Driven Recommendation System Algorithm
- Online Anomaly Detection over Live Social Video Streaming
- Semantic Parsing for Question Answering over Knowledge Graphs
- Minuet: Accelerating 3D Sparse Convolutions on GPUs
- DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines
- Rule-Guided Joint Embedding Learning over Knowledge Graphs
- aoip.ai: An Open-Source P2P SDK
- Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
- Clustering Students According to their Academic Achievement Using Fuzzy Logic
- Deep Metric Learning for Computer Vision: A Brief Overview
- Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
- Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals
- Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment
- zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof
- Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects
- Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
- Conceptual Engineering Using Large Language Models
- Video Summarization: Towards Entity-Aware Captions
- Identifying Spurious Correlations using Counterfactual Alignment
- Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
- Consistent Mesh Diffusion
- Spectral Temporal Contrastive Learning
- Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach
- The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
- Improve Supervised Representation Learning with Masked Image Modeling
- Hyperparameter Optimization for Large Language Model Instruction-Tuning
- FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models
- WATonoBus: Field-Tested All-Weather Autonomous Shuttle Technology
- Zero-Shot Video Question Answering with Procedural Programs
- Understanding Unimodal Bias in Multimodal Deep Linear Networks
- Label Delay in Online Continual Learning
- PACE: A Program Analysis Framework for Continuous Performance Prediction
- Quick Back-Translation for Unsupervised Machine Translation
- Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission path reconstruction
- LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models
- Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence
- Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining
- Segment and Caption Anything
- EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
- Segment Any 3D Gaussians
- Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
- QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
- Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
- A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis
- Physics Inspired Criterion for Pruning-Quantization Joint Learning
- NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
- Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion
- Exploring the Robustness of Decentralized Training for Large Language Models
- ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning
- Towards Redundancy-Free Sub-networks in Continual Learning
- PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction
- Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
- Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
- Dense Optical Tracking: Connecting the Dots
- Sequential Modeling Enables Scalable Learning for Large Vision Models
- MorpheuS: Neural Dynamic 360deg Surface Reconstruction from Monocular RGB-D Video
- Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans
- Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on
- Explaining Knock-on Effects of Bias Mitigation
- Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
- Scalable Meta-Learning with Gaussian Processes
- Adversarial Score Distillation: When score distillation meets GAN
- SeaLLMs -- Large Language Models for Southeast Asia
- Gaussian Grouping: Segment and Edit Anything in 3D Scenes
- Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space
- Removing Biases from Molecular Representations via Information Maximization
- SpaCE: The Spatial Confounding Environment
- PointBeV: A Sparse Approach to BeV Predictions
- WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models
- Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images
All 232
- Object Detector Differences when using Synthetic and Real Training Data
- VisionaryVR: An Optical Simulation Tool for Evaluating and Optimizing Vision Correction Solutions in Virtual Reality
- Open-vocabulary object 6D pose estimation
- Infrared Image Super-Resolution via GAN
- Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach
- Contextualized word senses: from attention to compositionality
- The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
- Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction
- CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
- Nonparametric Variational Regularisation of Pretrained Transformers
- Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network
- Resource-constrained knowledge diffusion processes inspired by human peer learning
- Simple Transferability Estimation for Regression Tasks
- Machine Learning for Health symposium 2023 -- Findings track
- SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
- Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation
- One to beat them all: "RYU" -- a unifying framework for the construction of safe balls
- RefinedFields: Radiance Fields Refinement for Planar Scene Representations
- A Recent Survey of Vision Transformers for Medical Image Segmentation
- Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach
- Rethinking the Domain Gap in Near-infrared Face Recognition
- Forecasting trends in food security with real time data
- Practical Path-based Bayesian Optimization
- Weighted Riesz Particles
- Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry
- Improving Plasticity in Online Continual Learning via Collaborative Learning
- Learning from One Continuous Video Stream
- UAVs and Birds: Enhancing Short-Range Navigation through Budgerigar Flight Studies
- BCN: Batch Channel Normalization for Image Classification
- Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers
- Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
- Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment
- Explainable Fraud Detection with Deep Symbolic Classification
- Adaptive Robust Learning using Latent Bernoulli Variables
- The Ethics of Automating Legal Actors
- Pathway to a fully data-driven geotechnics: lessons from materials informatics
- Instruction-tuning Aligns LLMs to the Human Brain
- Generative models for visualising abstract social processes: Guiding streetview image synthesis of StyleGAN2 with indices of deprivation
- Explanatory Argument Extraction of Correct Answers in Resident Medical Exams
- A safe exploration approach to constrained Markov decision processes
- Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?
- Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs
- Target-agnostic Source-free Domain Adaptation for Regression Tasks
- A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products
- Trained MT Metrics Learn to Cope with Machine-translated References
- RIS-Based On-the-Air Semantic Communications -- a Diffractional Deep Neural Network Approach
- LiDAR-based curb detection for ground truth annotation in automated driving validation
- DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality
- Algorithm-based diagnostic application for diabetic retinopathy detection
- SurreyAI 2023 Submission for the Quality Estimation Shared Task
- Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
- Summarization-based Data Augmentation for Document Classification
- Bayesian causal discovery from unknown general interventions
- VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity
- Generative artificial intelligence enhances creativity but reduces the diversity of novel content
- Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
- Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras
- Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
- REDUCR: Robust Data Downsampling Using Class Priority Reweighting
- Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting
- MultiView Independent Component Analysis with Delays
- Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
- Interpretable Meta-Learning of Physical Systems
- A Bayesian approach for prompt optimization in pre-trained language models
- Unfolder: Fast localization and image rectification of a document with a crease from folding in half
- Learning Unorthogonalized Matrices for Rotation Estimation
- Auto-encoding GPS data to reveal individual and collective behaviour
- Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?
- An Encoding Framework for Binarized Images using HyperDimensional Computing
- Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence
- FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
- Enhancing Image Captioning with Neural Models
- PEFTDebias : Capturing debiasing information using PEFTs
- From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
- Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
- Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
- Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
- SCHEME: Scalable Channel Mixer for Vision Transformers
- A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering
- CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
- A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
- VIoTGPT: Learning to Schedule Vision Tools in LLMs towards Intelligent Video Internet of Things
- Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network
- GFN-SR: Symbolic Regression with Generative Flow Networks
- Study and Survey on Gesture Recognition Systems
- Partition-based K-space Synthesis for Multi-contrast Parallel Imaging
- Local monotone operator learning using non-monotone operators: MnM-MOL
- Enhancing Explainability in Mobility Data Science through a combination of methods
- Optimal Sample Complexity of Contrastive Learning
- SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation
- Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value
- Event-driven Real-time Retrieval in Web Search
- Benchmarking Multi-Domain Active Learning on Image Classification
- Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
- Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
- Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
- Impact of Data Augmentation on QCNNs
- A Generalizable Deep Learning System for Cardiac MRI
- Transfer learning for predicting source terms of principal component transport in chemically reactive flow
- Quantum Kernel t-Distributed Stochastic Neighbor Embedding
- Manipulating the Label Space for In-Context Classification
- The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP
- Student Activity Recognition in Classroom Environments using Transfer Learning
- RTQ: Rethinking Video-language Understanding Based on Image-text Model
- TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning
- OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
- Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk
- Hypergraph Node Representation Learning with One-Stage Message Passing
- Learning Anatomically Consistent Embedding for Chest Radiography
- Green Edge AI: A Contemporary Survey
- Matching Weak Informative Ontologies
- StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
- Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing
- Improving Normalization with the James-Stein Estimator
- Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation
- 3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
- A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing
- RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
- Multiple Testing of Linear Forms for Noisy Matrix Completion
- Developmental Pretraining (DPT) for Image Classification Networks
- QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data
- Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results
- PsyAttention: Psychological Attention Model for Personality Detection
- SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection
- Learning to forecast diagnostic parameters using pre-trained weather embedding
- Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
- Text Attribute Control via Closed-Loop Disentanglement
- Metalearning Continual Learning Algorithms
- Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care
- Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty
- Academic competitions
- Skipper: Improving the Reach and Fidelity of Quantum Annealers by Skipping Long Chains