Papers
Thu 4 Aug 2022
150 papers
- Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume PredictionKnowledge distillation → General knowledge distillation methods
- Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of MindLLM reasoning → Reasoning benchmarks and evaluation
- Towards Understanding Mixture of Experts in Deep LearningMixture-of-experts → Vision mixture-of-experts
- Fine-Grained Semantically Aligned Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Black-box Dataset Ownership Verification via Backdoor Watermarking
- An intertwined neural network model for EEG classification in brain-computer interfaces
- Study of General Robust Subband Adaptive Filtering
- Scalable Quantum Neural Networks for Classification
- Developmental Network Two, Its Optimality, and Emergent Turing Machines
- Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations
- GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
- SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning
- Adversarial Attacks on Image Generation With Made-Up Words
- Advantages in Using a Stock Spring Selection Tool that Manages the Uncertainty of the Designer Requirements
- Estimating relative diffusion from 3D micro-CT images using CNNs
- HPO: We won't get fooled again
- Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions
- Delta Hedging Liquidity Positions on Automated Market Makers
- Image Quality Assessment: Learning to Rank Image Distortion Level
- Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems
- TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection
- Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing
- Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning
- Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment
- CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks
- ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
- LATTE: LAnguage Trajectory TransformEr
- Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network
- A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans
- Nonstationary Continuum-Armed Bandit Strategies for Automated Trading in a Simulated Financial Market
- Interpretable Distribution Shift Detection using Optimal Transport
- Automatic Segmentation of the Placenta in BOLD MRI Time Series
- Redesigning Multi-Scale Neural Network for Crowd Counting
- Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
- Improving Fuzzy-Logic based Map-Matching Method with Trajectory Stay-Point Detection
- PointConvFormer: Revenge of the Point-based Convolution
- Differentially Private Counterfactuals via Functional Mechanism
- Improved post-hoc probability calibration for out-of-domain MRI segmentation
- GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
- Memetic algorithms for Spatial Partitioning problems
- Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows
- Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution
- Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
- Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
- Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals
- TIC: Text-Guided Image Colorization
- Deep Surrogate of Modular Multi Pump using Active Learning
- Core and Periphery as Closed-System Precepts for Engineering General Intelligence
- Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round
- MOVE: Effective and Harmless Ownership Verification via Embedded External Features
- Occupancy Planes for Single-view RGB-D Human Reconstruction
- Expanding Language-Image Pretrained Models for General Video Recognition
- Conformal Risk Control
- P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
- MAGPIE: Machine Automated General Performance Improvement via Evolution of Software
- Analyzing Data-Centric Properties for Graph Contrastive Learning
- The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness
- Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution
- Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
- Automatic dense annotation of large-vocabulary sign language videos
- Transformers as Meta-Learners for Implicit Neural Representations
- Vision-Centric BEV Perception: A Survey
- Feature selection with gradient descent on two-layer networks in low-rotation regimes
- Modular Grammatical Evolution for the Generation of Artificial Neural Networks
- QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
- Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
- OpenCon: Open-world Contrastive Learning
- OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
- Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
- Runner-Up Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition
- Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
- Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
- Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
- IT/IST/IPLeiria Response to the Call for Proposals on JPEG Pleno Point Cloud Coding
- Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
- UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
- Agnostic Learning of General ReLU Activation Using Gradient Descent
- Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics
- Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training
- Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models
- 360Roam: Real-Time Indoor Roaming Using Geometry-Aware 360^circ Radiance Fields
- Bayesian Optimization with Informative Covariance
- Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data
- Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new framework
- Analyzing social media with crowdsourcing in Crowd4SDG
- Proceedings 38th International Conference on Logic Programming
- Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations
- Single-view 3D Mesh Reconstruction for Seen and Unseen Categories
- Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
- A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning
- Invariant Representations with Stochastically Quantized Neural Networks
- ATP: A holistic attention integrated approach to enhance ABSA
- Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series
- DropKey
- Neural network accelerator for quantum control
- ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion
- Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification
- Surgical Skill Assessment via Video Semantic Aggregation
- TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads
- Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
All 150
- Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption
- SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset
- N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
- Neuro-symbolic computing with spiking neural networks
- Constructing Balance from Imbalance for Long-tailed Image Recognition
- Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix
- Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT
- Vocabulary Transfer for Biomedical Texts: Add Tokens if You Can Not Add Data
- MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth
- Prompt Tuning for Generative Multimodal Pretrained Models
- InitialGAN: A Language GAN with Completely Random Initialization
- Metadata-enhanced contrastive learning from retinal optical coherence tomography images
- IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression
- A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model
- Scalable Video Coding for Humans and Machines
- Heart rate estimation in intense exercise videos
- ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
- Usability Study of Security Features in Programmable Logic Controllers
- Core Challenge 2022: Solver and Graph Descriptions
- Tokyo Kion-On: Query-Based Generative Sonification of Atmospheric Data
- RAZE: Region Guided Self-Supervised Gaze Representation Learning
- Customs Import Declaration Datasets
- Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards
- Privacy Safe Representation Learning via Frequency Filtering Encoder
- Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding
- Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces
- CFARnet: deep learning for target detection with constant false alarm rate
- Online Video Super-Resolution with Convolutional Kernel Bypass Graft
- Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking
- Privacy-Preserving Action Recognition via Motion Difference Quantization
- Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
- Deep Progressive Feature Aggregation Network for High Dynamic Range Imaging
- DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV
- Credal Valuation Networks for Machine Reasoning Under Uncertainty
- FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning
- H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
- Node Copying: A Random Graph Model for Effective Graph Sampling
- Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts
- Simulation and application of COVID-19 compartment model using physics-informed neural network
- Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance
- A New Kind of Adversarial Example
- Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents
- Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization
- NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features
- Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection
- Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models
- Evolutionary bagging for ensemble learning
- Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
- End-to-end deep learning for directly estimating grape yield from ground-based imagery
- Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing