Papers
Wed 23 Nov 2022
216 papers
- Improving dermatology classifiers across populations using images generated by large diffusion modelsDiffusion models → Medical imaging and segmentation
- HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous DenoisingDiffusion models → 3D, point cloud and scene generation
- Distilling Knowledge from Self-Supervised Teacher by Embedding Graph AlignmentKnowledge distillation → Graph neural network distillation
- Paint by Example: Exemplar-based Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Peekaboo: Text to Image Diffusion Models are Zero-Shot SegmentorsDiffusion models → Medical imaging and segmentation
- Latent Video Diffusion Models for High-Fidelity Long Video GenerationDiffusion models → Video generation
- TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape GenerationDiffusion models → 3D, point cloud and scene generation
- On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function ApproximationOffline RL and imitation learning from data → Offline RL algorithms
- Inversion-Based Style Transfer with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Structural Knowledge Distillation for Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Schr"odinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in SuperpositionDiffusion models → Image generation, text-to-image and editing +1
- Powderworld: A Platform for Understanding Generalization via Rich Task DistributionsWorld models → Latent dynamics models and model-based RL
- Open-vocabulary Attribute DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingKnowledge distillation → General knowledge distillation methods
- Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learningWorld models → Latent dynamics models and model-based RL
- Agent-Specific Deontic Modality Detection in Legal LanguageLLM agents and tool use → Social simulation and multi-agent debate
- Masked Autoencoding for Scalable and Generalizable Decision MakingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Texts as Images in Prompt Tuning for Multi-Label Image RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RoentGen: Vision-Language Foundation Model for Chest X-ray GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis
- RegTraffic: A Regression Based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization
- Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks
- A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface
- A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder
- On "Deep Learning" Misconduct
- ReCo: Region-Controlled Text-to-Image Generation
- DAMO-YOLO : A Report on Real-Time Object Detection Design
- Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power
- Machine Learning for Screening Large Organic Molecules
- Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
- Private Multi-Winner Voting for Machine Learning
- Incentive-Aware Recommender Systems in Two-Sided Markets
- CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
- Whose Emotion Matters? Speaking Activity Localisation without Prior Knowledge
- Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model
- Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture Models
- Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast Fourier Transformation
- Supervised Pretraining for Molecular Force Fields and Properties Prediction
- Utility Assessment of Synthetic Data Generation Methods
- Choreographer: Learning and Adapting Skills in Imagination
- Principled Data-Driven Decision Support for Cyber-Forensic Investigations
- Supervised Hypergraph Reconstruction
- Robustness Analysis of Deep Learning Models for Population Synthesis
- Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
- Learning to Rasterize Differentiably
- Learning Compact Features via In-Training Representation Alignment
- Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
- A Report on the Euphemisms Detection Shared Task
- Group SELFIES: A Robust Fragment-Based Molecular String Representation
- Make-A-Story: Visual Memory Conditioned Consistent Story Generation
- Rank-One Editing of Encoder-Decoder Models
- Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
- Bayesian Brain: Computation with Perception to Recognize 3D Objects
- CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD
- A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity
- How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?
- SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
- Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
- Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
- Learning and Testing Latent-Tree Ising Models Efficiently
- SEAT: Stable and Explainable Attention
- Shapley Curves: A Smoothing Perspective
- Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression
- Proceedings of the 4th International Workshop on Reading Music Systems
- Voice-preserving Zero-shot Multiple Accent Conversion
- Device Directedness with Contextual Cues for Spoken Dialog Systems
- Actively Learning Costly Reward Functions for Reinforcement Learning
- Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring
- Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
- Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction
- CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
- Lempel-Ziv Networks
- Relating Regularization and Generalization through the Intrinsic Dimension of Activations
- ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
- MEGAN: Multi-Explanation Graph Attention Network
- Unified Multimodal Model with Unlikelihood Training for Visual Dialog
- RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
- Self-Supervised Learning based on Heat Equation
- ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
- Learning to Imitate Object Interactions from Internet Videos
- Generalizable Implicit Neural Representations via Instance Pattern Composers
- SVFormer: Semi-supervised Video Transformer for Action Recognition
- CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
- On the Complexity of Finding a Diverse and Representative Committee using a Monotone, Separable Positional Multiwinner Voting Rule
- AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels
- Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
- SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label
- Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation
- BiasBed -- Rigorous Texture Bias Evaluation
- ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification
- BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
- TorchScale: Transformers at Scale
- Evolutionary Generalized Zero-Shot Learning
- Kernel PCA for multivariate extremes
- Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition
- Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive Models
- Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
- Pruned Lightweight Encoders for Computer Vision
- FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
- Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images
All 216
- This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
- Integral Continual Learning Along the Tangent Vector Field of Tasks
- Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study
- Autonomous Marker-less Rapid Aerial Grasping
- TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision
- Can Machines Imitate Humans? Integrative Turing-like tests for Language and Vision Demonstrate a Narrowing Gap
- Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives
- Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
- Enhancing team performance with transfer-learning during real-world human-robot collaboration
- Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
- A Masked Face Classification Benchmark on Low-Resolution Surveillance Images
- Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets
- Semi-Supervised Lifelong Language Learning
- Quantitative deterministic equivalent of sample covariance matrices with a general dependence structure
- Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective
- Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
- On the Typicality of Musical Sequences
- Semantics-Preserving Sketch Embedding for Face Generation
- Sarcasm Detection Framework Using Context, Emotion and Sentiment Features
- Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
- Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution
- Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
- Unsupervised Unlearning of Concept Drift with Autoencoders
- Reinforcement Learning Agent Design and Optimization with Bandwidth Allocation Model
- Physics-informed neural networks for pathloss prediction
- Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure
- Holistic Visual-Textual Sentiment Analysis with Prior Models
- FLAIR #1: semantic segmentation and domain adaptation dataset
- Cooperative data-driven modeling
- Reinforcement learning for traffic signal control in hybrid action space
- Look, Read and Ask: Learning to Ask Questions by Reading Text in Images
- SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model
- EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data
- Functional Connectome: Approximating Brain Networks with Artificial Neural Networks
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
- Can we Adopt Self-supervised Pretraining for Chest X-Rays?
- Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios
- Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification
- GhostNetV2: Enhance Cheap Operation with Long-Range Attention
- Implementation and Evaluation of a System for Assessment of The Quality of Long-Term Management of Patients at a Geriatric Hospital
- OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
- Cost Splitting for Multi-Objective Conflict-Based Search
- Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
- Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
- Data Augmentation Vision Transformer for Fine-grained Image Classification
- Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
- A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
- A Dynamic Weighted Federated Learning for Android Malware Classification
- μSplit: efficient image decomposition for microscopy data
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training
- Perfect Sampling from Pairwise Comparisons
- Privacy-Enhancing Optical Embeddings for Lensless Classification
- SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
- BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields
- GraphWOZ: Dialogue Management with Conversational Knowledge Graphs
- Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
- Unsupervised 3D Keypoint Discovery with Multi-View Geometry
- Video Instance Shadow Detection Under the Sun and Sky
- Data-Driven Feature Tracking for Event Cameras With and Without Frames
- Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
- Fairly Allocating Utility in Constrained Multiwinner Elections
- Learning to See the Elephant in the Room: Self-Supervised Context Reasoning in Humans and AI
- Vertical Federated Learning: Concepts, Advances and Challenges
- A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning
- An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios
- IMaSC -- ICFOSS Malayalam Speech Corpus
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
- An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022
- Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI
- Hand Avatar: Free-Pose Hand Animation and Rendering from Monocular Video
- Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
- Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs
- A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention And Meta-information For Ecg Classification
- Research on Data Fusion Algorithm Based on Deep Learning in Target Tracking
- Learning Regularized Positional Encoding for Molecular Prediction
- Reconnoitering the class distinguishing abilities of the features, to know them better
- Interpretability of an Interaction Network for identifying H rightarrow bbarb jets
- VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
- InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
- NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
- PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs
- FAIRification of MLC data
- SAH: Shifting-aware Asymmetric Hashing for Reverse k-Maximum Inner Product Search
- Dynamic Appearance: A Video Representation for Action Recognition with Joint Training
- Completing point cloud from few points by Wasserstein GAN and Transformers
- Efficient List-Decodable Regression using Batches
- Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration
- Safety Analysis of Autonomous Driving Systems Based on Model Learning
- Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
- Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision
- Embedding Compression for Text Classification Using Dictionary Screening
- Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
- Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
- Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
- SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
- SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning
- Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
- Quality Assurance in MLOps Setting: An Industrial Perspective
- Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
- Evaluating Feature Attribution Methods for Electrocardiogram
- Continual Learning of Natural Language Processing Tasks: A Survey
- Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks
- Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
- Benchmarking Adversarially Robust Quantum Machine Learning at Scale
- Word-Level Representation From Bytes For Language Modeling
- Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation
- Expressibility-Enhancing Strategies for Quantum Neural Networks
- DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data
- The Impact of Generative AI on the Future of Visual Content Marketing
- One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
- ActiveRMAP: Radiance Field for Active Mapping And Planning
- FRE: A Fast Method For Anomaly Detection And Segmentation
- Predicting Topological Maps for Visual Navigation in Unexplored Environments
- Leveraging Data Recasting to Enhance Tabular Reasoning
- Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
- AugOp: Inject Transformation into Neural Operator