Papers
Thu 23 Mar 2023
242 papers
- ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
- Detecting Backdoors in Pre-trained EncodersLLM safety and security → Backdoor and data poisoning attacks
- End-to-End Diffusion Latent Optimization Improves Classifier GuidanceDiffusion models → Diffusion foundations and sampling
- Adaptive Similarity Bootstrapping for Self-Distillation based Representation LearningKnowledge distillation → General knowledge distillation methods
- Efficient Symbolic Reasoning for Neural-Network VerificationLLM reasoning → Reasoning benchmarks and evaluation
- Ablating Concepts in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Persistent Nature: A Generative Model of Unbounded 3D WorldsWorld models → Video-generation world models and simulators
- Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 CompetitionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Closer Look at Model Adaptation using Feature Distortion and Simplicity BiasMechanistic interpretability → Sparse autoencoder training and evaluation
- ReVersion: Diffusion-Based Relation Inversion from ImagesDiffusion models → Image generation, text-to-image and editing
- Promptable Game Models: Text-Guided Game Simulation via Masked Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation SkillsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video GeneratorsDiffusion models → Video generation
- Medical diffusion on a budget: Textual Inversion for medical image generationDiffusion models → Medical imaging and segmentation
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseLLM safety and security → Watermarking generated content and models
- DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from VideosDiffusion models → 3D, point cloud and scene generation
- A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AIDiffusion models → Audio, speech and music
- Visual-Language Prompt Tuning with Knowledge-guided Context OptimizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Simple and Generic Framework for Feature Distillation via Channel-wise TransformationKnowledge distillation → General knowledge distillation methods
- MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Retrieval-Augmented Classification with Decoupled RepresentationRetrieval-augmented generation → Generation and context integration
- DiffPattern: Layout Pattern Generation via Discrete DiffusionDiffusion models → Image generation, text-to-image and editing
- Open-Vocabulary Object Detection using Pseudo Caption LabelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Controllable Inversion of Black-Box Face Recognition Models via DiffusionDiffusion models → Image generation, text-to-image and editing
- From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft LabelsKnowledge distillation → General knowledge distillation methods
- Automatic Generation of Labeled Data for Video-Based Human Pose Analysis via NLP applied to YouTube Subtitles
- Secure Federated Learning for Cognitive Radio Sensing
- An embedding for EEG signals learned using a triplet loss
- IoT trust and reputation: a survey and taxonomy
- Neuro-Symbolic Execution of Generic Source Code
- Federated Learning for Metaverse: A Survey
- Severity classification of ground-glass opacity via 2-D convolutional neural network and lung CT scans: a 3-day exploration
- A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance
- Dialogue-to-Video Retrieval
- Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge
- A Gold Standard Dataset for the Reviewer Assignment Problem
- Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning
- A Deliberation-based Joint Acoustic and Text Decoder
- Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
- Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database
- High Fidelity Image Synthesis With Deep VAEs In Latent Space
- Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness
- Decision-aid or Controller? Steering Human Decision Makers with Algorithms
- Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation
- Learning and generalization of compositional representations of visual scenes
- OFA2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search
- Mordecai 3: A Neural Geoparser and Event Geocoder
- Clustering based on Mixtures of Sparse Gaussian Processes
- Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
- Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
- Presenting Multiagent Challenges in Team Sports Analytics
- Policy Evaluation in Distributional LQR
- NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM
- Efficient Neural Architecture Search for Emotion Recognition
- Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
- Planning as Theorem Proving with Heuristics
- Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
- PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models
- Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks
- NOPE: Novel Object Pose Estimation from a Single Image
- Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
- Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization
- Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
- Scaled Quantization for the Vision Transformer
- Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
- Une comparaison des algorithmes d'apprentissage pour la survie avec donn'ees manquantes
- On the Efficacy of Generalization Error Prediction Scoring Functions
- SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
- Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
- Return of the RNN: Residual Recurrent Networks for Invertible Sentence Embeddings
- TinyML: Tools, Applications, Challenges, and Future Research Directions
- Extracting real estate values of rental apartment floor plans using graph convolutional networks
- AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
- Enhancing Embedding Representations of Biomedical Data using Logic Knowledge
- Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains
- Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training
- Learning unidirectional coupling using echo-state network
- MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
- Collaboration Helps Camera Overtake LiDAR in 3D Detection
- Enhancing Unsupervised Speech Recognition with Diffusion GANs
- Learning and Verification of Task Structure in Instructional Videos
- Three ways to improve feature alignment for open vocabulary detection
- SAOR: Single-View Articulated Object Reconstruction
- Neural Preset for Color Style Transfer
- MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
- Position-Guided Point Cloud Panoptic Segmentation Transformer
- DreamBooth3D: Subject-Driven Text-to-3D Generation
- The Quantization Model of Neural Scaling
- A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
- ReBotNet: Fast Real-time Video Enhancement
- Chordal Averaging on Flag Manifolds and Its Applications
- TriPlaneNet: An Encoder for EG3D Inversion
- The effectiveness of MAE pre-pretraining for billion-scale pretraining
- Attention! Dynamic Epistemic Logic Models of (In)attentive Agents
- Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
- NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
- TactoFind: A Tactile Only System for Object Retrieval
- IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation
- TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation
All 242
- Egocentric Audio-Visual Object Localization
- Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
- Optimization Dynamics of Equivariant and Augmented Neural Networks
- CoBIT: A Contrastive Bi-directional Image-Text Generation Model
- Human Behavior in the Time of COVID-19: Learning from Big Data
- Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse
- Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
- CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
- Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
- Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
- GiveMeLabeledIssues: An Open Source Issue Recommendation System
- Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains
- Adaptive Endpointing with Deep Contextual Multi-armed Bandits
- SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
- MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
- Optimization and Optimizers for Adversarial Robustness
- Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
- Zero-guidance Segmentation Using Zero Segment Labels
- Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
- Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How
- Plug-and-Play Regulators for Image-Text Matching
- FS-Real: Towards Real-World Cross-Device Federated Learning
- POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
- Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation
- DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
- Increasing Textual Context Size Boosts Medical Image-Text Matching
- Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
- Logistic Regression Equivalence: A Framework for Comparing Logistic Regression Models Across Populations
- Decentralized Adversarial Training over Graphs
- DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
- Deep Generative Multi-Agent Imitation Model as a Computational Benchmark for Evaluating Human Performance in Complex Interactive Tasks: A Case Study in Football
- QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation
- SwissBERT: The Multilingual Language Model for Switzerland
- The Innovation Paradox: Concept Space Expansion with Diminishing Originality and the Promise of Creative AI
- Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective
- Improving Generalization with Domain Convex Game
- Considerations on the Evaluation of Biometric Quality Assessment Algorithms
- LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
- Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
- GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
- Improved Anisotropic Gaussian Filters
- SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
- TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
- Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
- Disguise without Disruption: Utility-Preserving Face De-Identification
- A Bag-of-Prototypes Representation for Dataset-Level Applications
- CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
- 6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
- Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
- Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
- Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
- Confidence-Aware and Self-Supervised Image Anomaly Localisation
- Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
- Explore the Power of Synthetic Data on Few-shot Object Detection
- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
- Fairness-guided Few-shot Prompting for Large Language Models
- A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
- Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs
- Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning
- Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
- First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
- Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
- VADER: Video Alignment Differencing and Retrieval
- Mechanism Design for Ad Auctions with Display Prices
- Extended High Utility Pattern Mining: An Answer Set Programming Based Framework and Applications
- Marching-Primitives: Shape Abstraction from Signed Distance Function
- ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
- CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
- It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting
- Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform
- 3D-POP -- An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
- Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
- An elementary belief function logic
- Take 5: Interpretable Image Classification with a Handful of Features
- Improvement of Color Image Analysis Using a New Hybrid Face Recognition Algorithm based on Discrete Wavelets and Chebyshev Polynomials
- Adiabatic replay for continual learning
- Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
- Calibrated Out-of-Distribution Detection with a Generic Representation
- FedGH: Heterogeneous Federated Learning with Generalized Global Header
- Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
- Masked Image Training for Generalizable Deep Image Denoising
- Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
- Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations
- Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
- Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
- DetOFA: Efficient Training of Once-for-All Networks for Object Detection Using Path Filter
- RLOR: A Flexible Framework of Deep Reinforcement Learning for Operation Research
- AdaCL:Adaptive Continual Learning
- A Simple Explanation for the Phase Transition in Large Language Models with List Decoding
- Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
- OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
- Keypoint-Guided Optimal Transport: Models, Algorithms, and Applications
- MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
- PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point Clouds
- Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer
- CP3: Channel Pruning Plug-in for Point-based Networks
- Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
- Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent
- Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
- Box-Level Active Detection
- Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
- MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
- An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
- CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
- Beyond Universal Transformer: block reusing with adaptor in Transformer for automatic speech recognition
- PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360circ
- Human Guided Ground-truth Generation for Realistic Image Super-resolution
- SIEDOB: Semantic Image Editing by Disentangling Object and Background
- Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
- Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities
- Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
- Towards Better Dynamic Graph Learning: New Architecture and Unified Library
- Top-Down Visual Attention from Analysis by Synthesis
- SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization
- Preference-Aware Constrained Multi-Objective Bayesian Optimization
- Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
- Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
- Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
- ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
- MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
- Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks
- Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
- GesGPT: Speech Gesture Synthesis With Text Parsing from ChatGPT
- Semantic Image Attack for Visual Model Diagnosis
- MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models
- Adversarially Contrastive Estimation of Conditional Neural Processes
- Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
- Planning Goals for Exploration
- Is ChatGPT A Good Keyphrase Generator? A Preliminary Study
- Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence
- FER-former: Multi-modal Transformer for Facial Expression Recognition
- Backdoor Defense via Adaptively Splitting Poisoned Dataset
- A Survey of Historical Learning: Learning Models with Learning History
- Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
- Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
- NVAutoNet: Fast and Accurate 360circ 3D Visual Perception For Self Driving
- Performance Analysis and Evaluation of Cloud Vision Emotion APIs
- Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
- Efficient Meshy Neural Fields for Animatable Human Avatars
- Continuous Indeterminate Probability Neural Network
- Forecast-Aware Model Driven LSTM