Papers
Thu 30 Nov 2023
328 papers
- DFU: scale-robust diffusion model for zero-shot super-resolution image generationDiffusion models → Inverse problems and image restoration
- Applying Large Language Models and Chain-of-Thought for Automatic ScoringLLM reasoning → Reasoning benchmarks and evaluation
- SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual ExamplesMultimodal LLMs / vision-language models → Social bias and fairness in VLMs +1
- Non-Cross Diffusion for Semantic ConsistencyDiffusion models → Diffusion foundations and sampling
- Merlin:Empowering Multimodal LLMs with Foresight MindsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DREAM: Diffusion Rectification and Estimation-Adaptive ModelsDiffusion models → Inverse problems and image restoration
- Raising the Bar of AI-generated Image Detection with CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement InformationDiffusion models → Flow matching, time series and science
- S2ST: Image-to-Image Translation in the Seed Space of Latent DiffusionDiffusion models → Image generation, text-to-image and editing
- OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Fast ODE-based Sampling for Diffusion Models in Around 5 StepsDiffusion models → Diffusion foundations and sampling
- GraphDreamer: Compositional 3D Scene Synthesis from Scene GraphsDiffusion models → Image generation, text-to-image and editing
- X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?Diffusion models → Robustness, privacy and adversarial aspects
- Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion ModelsDiffusion models → Video generation
- ChatPose: Chatting about 3D Human PoseMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ARTboldsymbol·V: Auto-Regressive Text-to-Video Generation with Diffusion ModelsDiffusion models → Video generation
- Exploiting Diffusion Prior for Generalizable Dense PredictionDiffusion models → Diffusion foundations and sampling
- MotionEditor: Editing Video Motion via Content-Aware DiffusionDiffusion models → Video generation
- MicroCinema: A Divide-and-Conquer Approach for Text-to-Video GenerationDiffusion models → Video generation
- One-step Diffusion with Distribution Matching DistillationDiffusion models → Diffusion foundations and sampling
- ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content SeparationDiffusion models → Image generation, text-to-image and editing
- What Do Llamas Really Think? Revealing Preference Biases in Language Model RepresentationsLLM reasoning → Reasoning benchmarks and evaluation
- X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal ReasoningLLM reasoning → Multimodal reasoning
- CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Continual Diffusion with STAMINA: STack-And-Mask INcremental AdaptersDiffusion models → Robustness, privacy and adversarial aspects
- Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the WebLLM agents and tool use → Web, search, and research agents
- AlignBench: Benchmarking Chinese Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language ModelingLLM reasoning → Reasoning benchmarks and evaluation
- RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational AssistanceMultimodal LLMs / vision-language models → Medical vision-language models
- Detailed Human-Centric Text Description-Driven Large Scene SynthesisDiffusion models → Image generation, text-to-image and editing
- LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and PlanningLLM reasoning → Spatial and embodied reasoning +1
- Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent DiffusionDiffusion models → Medical imaging and segmentation
- Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingDiffusion models → Diffusion foundations and sampling
- Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Improving Adversarial Transferability via Model AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Autonomous Agents in Software Development: A Vision PaperLLM agents and tool use → Software engineering coding agents
- Layered Rendering Diffusion Model for Controllable Zero-Shot Image SynthesisDiffusion models → Image generation, text-to-image and editing
- CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- IAG: Induction-Augmented Generation Framework for Answering Reasoning QuestionsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- On Exact Inversion of DPM-SolversDiffusion models → Diffusion foundations and sampling
- Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from DemonstrationOffline RL and imitation learning from data → Robot learning from demonstration
- Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading ComprehensionLLM reasoning → Reasoning benchmarks and evaluation
- Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningDiffusion models → Robustness, privacy and adversarial aspects
- Diffusion Models Without AttentionDiffusion models → Diffusion foundations and sampling
- Privacy and Copyright Protection in Generative AI: A Lifecycle PerspectiveLLM safety and security → Watermarking generated content and models
- mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language ModelMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- TCP:Textual-based Class-aware Prompt tuning for Visual-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SMaRt: Improving GANs with Score Matching RegularityDiffusion models → Diffusion foundations and sampling
- SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy EvaluationOffline RL and imitation learning from data → Offline RL algorithms
- HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting AdaptationDiffusion models → Image generation, text-to-image and editing
- Clustering Inductive Biases with Unrolled Networks
- Hierarchy Representation of Data in Machine Learnings
- Process Mining for Unstructured Data: Challenges and Research Directions
- Zero Bubble Pipeline Parallelism
- Rethinking FID: Towards a Better Evaluation Metric for Image Generation
- Precipitation Prediction Using an Ensemble of Lightweight Learners
- Redefining Recon: Bridging Gaps with UAVs, 360 degree Cameras, and Neural Radiance Fields
- Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
- Symbolic Learning for Material Discovery
- Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
- Optimizing the Passenger Flow for Airport Security Check
- Classifying patient voice in social media data using neural networks: A comparison of AI models on different data sources and therapeutic domains
- Evaluating Large Language Model Creativity from a Literary Perspective
- Channel-Feedback-Free Transmission for Downlink FD-RAN: A Radio Map based Complex-valued Precoding Network Approach
- AV-RIR: Audio-Visual Room Impulse Response Estimation
- Lasagna: Layered Score Distillation for Disentangled Object Relighting
- A Unified Framework for Connecting Noise Modeling to Boost Noise Detection
- DEVIAS: Learning Disentangled Video Representations of Action and Scene
- Adaptive Multi-Modality Prompt Learning
- Large Language Models for Travel Behavior Prediction
- LucidDreaming: Controllable Object-Centric 3D Generation
- DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
- PyNeRF: Pyramidal Neural Radiance Fields
- Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview
- Directions of Curvature as an Explanation for Loss of Plasticity
- Self-similarity of Communities of the ABCD Model
- Negotiated Representations to Prevent Forgetting in Machine Learning Applications
- Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
- Deep Equilibrium Based Neural Operators for Steady-State PDEs
- Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
- Unsupervised textile defect detection using convolutional neural networks
- Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)
- Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation
- Learning active tactile perception through belief-space control
- Relevance-guided Neural Machine Translation
- On the Interplay Between Stepsize Tuning and Progressive Sharpening
- EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism
- SparseGS: Sparse View Synthesis using 3D Gaussian Splatting
- DNS SLAM: Dense Neural Semantic-Informed SLAM
- An integrated framework for developing and evaluating an automated lecture style assessment system
- Optimal Attack and Defense for Reinforcement Learning
- Robust Concept Erasure via Kernelized Rate-Distortion Maximization
- Benchmarking and Enhancing Disentanglement in Concept-Residual Models
- Enhancing Ligand Pose Sampling for Molecular Docking
- HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction
- Planning Reliability Assurance Tests for Autonomous Vehicles
- Galaxy Classification: A machine learning approach for classifying shapes using numerical data
All 328
- RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules
- Compression of end-to-end non-autoregressive image-to-speech system for low-resourced devices
- Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems
- When Is Inductive Inference Possible?
- Navigating News Narratives: A Media Bias Analysis Dataset
- Towards Accurate Differential Diagnosis with Large Language Models
- Universal Backdoor Attacks
- Which way is `right'?: Uncovering limitations of Vision-and-Language Navigation model
- The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs
- The Multiverse of Dynamic Mode Decomposition Algorithms
- Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
- Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
- A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
- Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation
- Event-based Continuous Color Video Decompression from Single Frames
- DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting
- Multimodal Foundation Models for Material Property Prediction and Discovery
- CLIP-QDA: An Explainable Concept Bottleneck Model
- Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
- Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training
- DeepEn2023: Energy Datasets for Edge Artificial Intelligence
- FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation
- Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations
- Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines
- Online Influence Maximization: Concept and Algorithm
- Identifying tourist destinations from movie scenes using Deep Learning
- SparseDC: Depth Completion from sparse and non-uniform inputs
- Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting
- Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
- Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features
- Anomaly Detection via Learning-Based Sequential Controlled Sensing
- Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle
- BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
- A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
- PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design
- Towards A Foundation Model For Trajectory Intelligence
- Just Add π! Pose Induced Video Transformers for Understanding Activities of Daily Living
- TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
- Dataset Distillation via Curriculum Data Synthesis in Large Data Era
- InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation
- Motion-Conditioned Image Animation for Video Editing
- Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
- CAST: Cross-Attention in Space and Time for Video Action Recognition
- An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments
- Initializing Models with Larger Ones
- Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
- IMMA: Immunizing text-to-image Models against Malicious Adaptation
- Is Underwater Image Enhancement All Object Detectors Need?
- Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
- FoundPose: Unseen Object Pose Estimation with Foundation Features
- Pre-registration for Predictive Modeling
- Efficient Baseline for Quantitative Precipitation Forecasting in Weather4cast 2023
- Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
- BioCLIP: A Vision Foundation Model for the Tree of Life
- Distributed Global Structure-from-Motion with a Deep Front-End
- Automated interpretation of congenital heart disease from multi-view echocardiograms
- Communication-Efficient Federated Optimization over Semi-Decentralized Networks
- MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
- Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection
- Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
- Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees
- Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems
- MLLMs-Augmented Visual-Language Representation Learning
- Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?
- TaskBench: Benchmarking Large Language Models for Task Automation
- Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data
- TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start
- A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection
- mathbbZ2× mathbbZ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
- VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
- Mavericks at NADI 2023 Shared Task: Unravelling Regional Nuances through Dialect Identification using Transformer-based Approach
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
- Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
- Indoor Millimeter Wave Localization using Multiple Self-Supervised Tiny Neural Networks
- Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space -- Transformer Ensemble Models Tackling Deception and Persuasion
- Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
- Automatic Functional Differentiation in JAX
- AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities
- The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
- CoRec: An Easy Approach for Coordination Recognition
- Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
- Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
- CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
- Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
- Balancing Summarization and Change Detection in Graph Streams
- Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning
- DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)
- Cascaded Interaction with Eroded Deep Supervision for Salient Object Detection
- A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
- Action Recognition in Video Recordings from Gynecologic Laparoscopy
- Pose Estimation and Tracking for ASIST
- Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy
- Choosing the parameter of the Fermat distance: navigating geometry and noise
- TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem
- Learning Part Segmentation from Synthetic Animals
- ArcMMLU: A Library and Information Science Benchmark for Large Language Models
- Simple Semantic-Aided Few-Shot Learning
- Stochastic Vision Transformers with Wasserstein Distance-Aware Attention
- Exploring the hierarchical structure of human plans via program generation
- Targeted Reduction of Causal Models
- DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
- A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
- Data-driven prediction of tool wear using Bayesian-regularized artificial neural networks
- JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
- Anatomy and Physiology of Artificial Intelligence in PET Imaging
- DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image
- ArthModel: Enhance Arithmetic Skills to Large Language Model
- Learning Triangular Distribution in Visual World
- Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing
- Generalisable Agents for Neural Network Optimisation
- Optimizing ZX-Diagrams with Deep Reinforcement Learning
- Continuous 16-bit Training: Accelerating 32-bit Pre-Trained Neural Networks
- FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity
- Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
- Fixed-length Dense Descriptor for Efficient Fingerprint Matching
- Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
- Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking
- Source-free Video Domain Adaptation by Learning from Noisy Labels
- The Causal Influence of Grammatical Gender on Distributional Semantics
- Leveraging Local Patch Alignment to Seam-cutting for Large Parallax Image Stitching
- Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
- FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
- Learning Radio Environments by Differentiable Ray Tracing
- Can semi-supervised learning use all the data effectively? A lower bound perspective
- Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
- Search Still Matters: Information Retrieval in the Era of Generative AI
- Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
- Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
- A Simple Video Segmenter by Tracking Objects Along Axial Trajectories
- Dataset Distillation via the Wasserstein Metric
- HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
- Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
- Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
- Calibration-free online test-time adaptation for electroencephalography motor imagery decoding
- Color-Emotion Associations in Art: Fuzzy Approach
- Union-over-Intersections: Object Detection beyond Winner-Takes-All
- DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
- Global Convergence of Online Identification for Mixed Linear Regression
- Perturbation-based Effect Measures for Compositional Data
- Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
- Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning
- PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing
- ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs
- New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs
- Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding
- ESG Accountability Made Easy: DocQA at Your Service
- Use of explicit replies as coordination mechanisms in online student debate
- Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
- How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
- HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
- VTimeLLM: Empower LLM to Grasp Video Moments
- Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
- The Sliding Regret in Stochastic Bandits: Discriminating Index and Randomized Policies
- Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks
- E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
- On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
- Convergence Analysis of Fractional Gradient Descent
- "We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
- TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing
- Detecting and Corrupting Convolution-based Unlearnable Examples
- MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
- RainAI -- Precipitation Nowcasting from Satellite Data
- Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
- Transfer Learning across Different Chemical Domains: Virtual Screening of Organic Materials with Deep Learning Models Pretrained on Small Molecule and Chemical Reaction Data
- Age Effects on Decision-Making, Drift Diffusion Model
- A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
- Hubness Reduction Improves Sentence-BERT Semantic Spaces
- Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
- Automating lookahead planning using site appearance and space utilization
- TIDE: Test Time Few Shot Object Detection
- Towards Comparable Active Learning
- Reconstructing Historical Climate Fields With Deep Learning
- Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
- DSeg: Direct Line Segments Detection
- Learning Robust Precipitation Forecaster by Temporal Frame Interpolation
- Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection
- MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
- Advances in 3D Neural Stylization: A Survey
- Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
- Automatic Implementation of Neural Networks through Reaction Networks -- Part I: Circuit Design and Convergence Analysis
- Anisotropic Neural Representation Learning for High-Quality Neural Rendering
- Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent
- PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data
- OmniMotionGPT: Animal Motion Generation with Limited Data
- Reconstructing the normal and shape at specularities in endoscopy
- TrustMark: Universal Watermarking for Arbitrary Resolution Images
- Perceptual Group Tokenizer: Building Perception with Iterative Grouping
- TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers
- CosAvatar: Consistent and Animatable Portrait Video Tuning with Text Prompt
- Dispersed Structured Light for Hyperspectral 3D Imaging
- SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation
- Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications
- Semiparametric Efficient Inference in Adaptive Experiments
- HKUST at SemEval-2023 Task 1: Visual Word Sense Disambiguation with Context Augmentation and Visual Assistance
- Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation
- MCI Detection using fMRI time series embeddings of Recurrence plots
- Learning Exactly Linearizable Deep Dynamics Models
- Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
- Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
- Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition
- Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators
- Automatic Detection of Alzheimer's Disease with Multi-Modal Fusion of Clinical MRI Scans
- Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
- DKiS: Decay weight invertible image steganography with private key
- LLVMs4Protest: Harnessing the Power of Large Language and Vision Models for Deciphering Protests in the News
- Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
- LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
- Reasoning with the Theory of Mind for Pragmatic Semantic Communication
- FS-BAND: A Frequency-Sensitive Banding Detector
- Automatic Construction of a Korean Toxic Instruction Dataset for Ethical Tuning of Large Language Models
- Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks
- Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation
- Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
- INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion
- Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos
- Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
- COVID-19 Vaccine Misinformation in Middle Income Countries
- Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes
- Persistent Test-time Adaptation in Recurring Testing Scenarios
- Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning
- Speech Understanding on Tiny Devices with A Learning Cache
- An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
- Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving
- Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation
- Few-shot Image Generation via Style Adaptation and Content Preservation
- Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications
- A-Scan2BIM: Assistive Scan to Building Information Modeling
- CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization