Papers
Mon 29 Aug 2022
119 papers
- Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisDiffusion models → Diffusion foundations and sampling
- Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning StrategyKnowledge distillation → General knowledge distillation methods
- Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Prompt Tuning with Soft Context Sharing for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge TransferKnowledge distillation → Detection and dense prediction distillation
- Reweighting Strategy based on Synthetic Data Identification for Sentence SimilaritySynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
- Personal Attribute Prediction from Conversations
- Analyzing the Impact of Sentiments of Scientific Articles on COVID-19 Vaccination Rates
- Volume Rendering Digest (for NeRF)
- From Smart Sensing to Consciousness: An info-structural model of computational consciousness for non-interacting agents
- A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection
- On Grounded Planning for Embodied Tasks with Language Models
- Artificial intelligence-based locoregional markers of brain peritumoral microenvironment
- Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks
- Learned k-NN Distance Estimation
- SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
- Exploring and Evaluating Personalized Models for Code Generation
- SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
- Dynamic Network Sampling for Community Detection
- A Language Agnostic Multilingual Streaming On-Device ASR System
- Finite Sample Identification of Bilinear Dynamical Systems
- "Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method
- Reducing Certified Regression to Certified Classification for General Poisoning Attacks
- Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge
- Debiasing Word Embeddings with Nonlinear Geometry
- Conjugate Natural Selection
- Data Isotopes for Data Provenance in DNNs
- Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges
- Inference and Optimization for Engineering and Physical Systems
- ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
- Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task
- Perfusion assessment via local remote photoplethysmography (rPPG)
- Towards Adversarial Purification using Denoising AutoEncoders
- PGNAA Spectral Classification of Metal with Density Estimations
- Evolving Label Usage within Generation Z when Self-Describing Sexual Orientation
- Extracting Mathematical Concepts from Text
- Differentiable Programming for Earth System Modeling
- Synthetic Latent Fingerprint Generator
- DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
- Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation
- Dimension Independent Data Sets Approximation and Applications to Classification
- Autoinverse: Uncertainty Aware Inversion of Neural Networks
- Rosenblatt's first theorem and frugality of deep learning
- Attention-based Interpretable Regression of Gene Expression in Histology
- Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs
- Boundary-Aware Network for Abdominal Multi-Organ Segmentation
- Temporal Label Smoothing for Early Event Prediction
- Machine Learning guided high-throughput search of non-oxide garnets
- Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature Fusion
- Bayesian Continual Learning via Spiking Neural Networks
- Open-Set Semi-Supervised Object Detection
- CounTR: Transformer-based Generalised Visual Counting
- StableFace: Analyzing and Improving Motion Stability for Talking Face Generation
- SphereDepth: Panorama Depth Estimation from Spherical Domain
- Online Bidding Algorithms for Return-on-Spend Constrained Advertisers
- Data-Driven Influence Functions for Optimization-Based Causal Inference
- Categorical semantics of compositional reinforcement learning
- Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy
- FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
- Comprehensive study of good model training for prostate segmentation in volumetric MRI
- Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
- Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
- LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
- Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search
- A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
- A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
- Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
- Decentralized Coordination in Partially Observable Queueing Networks
- Neural Tangent Kernel: A Survey
- Approach of variable clustering and compression for learning large Bayesian networks
- Towards Robust Face Recognition with Comprehensive Search
- Combating high variance in Data-Scarce Implicit Hate Speech Classification
- Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
- Chosen methods of improving small object recognition with weak recognizable features
- Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
- Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
- Explainability of Deep Learning models for Urban Space perception
- Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction
- CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
- Lateral Movement Detection Using User Behavioral Analysis
- Demystifying the COVID-19 vaccine discourse on Twitter
- LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems
- Detecting Surprising Situations in Event Data
- Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
- Generalization In Multi-Objective Machine Learning
- A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder
- naab: A ready-to-use plug-and-play corpus for Farsi
- A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras
- Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
- Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces
- Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation
- Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
- Towards In-distribution Compatibility in Out-of-distribution Detection
- The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification
- StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing
- Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
- PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection
- Interpreting Black-box Machine Learning Models for High Dimensional Datasets
- Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
All 119
- Confidence Estimation for Object Detection in Document Images
- Unified Bayesian Frameworks for Multi-criteria Decision-making Problems
- Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human
- Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
- Survey: Exploiting Data Redundancy for Optimization of Deep Learning
- NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language
- Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
- Artificial Neural Networks for Finger Vein Recognition: A Survey
- Boundary-Aware Network for Kidney Parsing
- Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
- Real-Time Mask Detection Based on SSD-MobileNetV2
- Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems
- Effective approaches to disaster evacuation during a COVID-like pandemic
- Streaming Intended Query Detection using E2E Modeling for Continued Conversation
- Turn-Taking Prediction for Natural Conversational Speech
- Minute ventilation measurement using Plethysmographic Imaging and lighting parameters
- Multi-dimensional Racism Classification during COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion
- ANAct: Adaptive Normalization for Activation Functions
- Fluorescence molecular optomic signatures improve identification of tumors in head and neck specimens