Papers
Fri 26 Aug 2022
138 papers
- Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveKnowledge distillation → Detection and dense prediction distillation
- Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge TransferKnowledge distillation → Detection and dense prediction distillation
- Dense Depth Distillation with Out-of-Distribution Simulated ImagesKnowledge distillation → Detection and dense prediction distillation
- Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
- Risk Verification of Stochastic Systems with Neural Network Controllers
- Expanding continual few-shot learning benchmarks to include recognition of specific instances
- Machine Learning Decoder for 5G NR PUCCH Format 0
- Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context
- Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning
- Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)
- Remote Work Optimization with Robust Multi-channel Graph Neural Networks
- Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots
- Cross-Camera Deep Colorization
- Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
- Generative Personas That Behave and Experience Like Humans
- Efficient ML Models for Practical Secure Inference
- A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
- FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods
- Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
- CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
- Stock Market Prediction using Natural Language Processing -- A Survey
- ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning
- Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation
- Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers
- Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model
- Multi-Modality Cardiac Image Computing: A Survey
- Neuromorphic Visual Scene Understanding with Resonator Networks
- DETERRENT: Detecting Trojans using Reinforcement Learning
- Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
- Ammunition Component Classification Using Deep Learning
- Local Context-Aware Active Domain Adaptation
- Domain Adaptation with Adversarial Training on Penultimate Activations
- What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
- Coalescing Global and Local Information for Procedural Text Understanding
- Region-guided CycleGANs for Stain Transfer in Whole Slide Images
- A Path Towards Clinical Adaptation of Accelerated MRI
- Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints
- Mixtures of Gaussian Process Experts with SMC2
- Uncovering dark matter density profiles in dwarf galaxies with graph neural networks
- Complexity-Driven CNN Compression for Resource-constrained Edge AI
- What Does the Gradient Tell When Attacking the Graph Structure
- Abnormal Local Clustering in Federated Learning
- Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
- Algebraically Explainable Controllers: Decision Trees and Support Vector Machines Join Forces
- VMFormer: End-to-End Video Matting with Transformer
- Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming
- LUCID: Exposing Algorithmic Bias through Inverse Design
- Mel Spectrogram Inversion with Stable Pitch
- Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
- Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning
- Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing
- SFusion: Self-attention based N-to-One Multimodal Fusion Block
- NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems
- Causal Bandits for Linear Structural Equation Models
- Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions
- Task Selection for AutoML System Evaluation
- Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging
- Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
- A Formal Comparison between Datalog-based Languages for Stream Reasoning (extended version)
- Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression
- SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset
- Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
- Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
- Hardware-aware mobile building block evaluation for computer vision
- Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages
- Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach
- Multi tasks RetinaNet for mitosis detection
- Uncertainty Guided Depth Fusion for Spike Camera
- Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
- Selective manipulation of disentangled representations for privacy-aware facial image processing
- Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models
- Take One Gram of Neural Features, Get Enhanced Group Robustness
- From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection
- Play with Emotion: Affect-Driven Reinforcement Learning
- PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition
- On the Implicit Bias in Deep-Learning Algorithms
- Ab-initio quantum chemistry with neural-network wavefunctions
- Generalizability of Code Clone Detection on CodeBERT
- Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures
- Large-N dynamics of the spiked tensor model with random initial conditions
- Socially Fair Reinforcement Learning
- Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention
- A Framework for Inherently Interpretable Optimization Models
- I still know it's you! On Challenges in Anonymizing Source Code
- Itemset Utility Maximization with Correlation Measure
- Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
- Deep Hypergraph Structure Learning
- MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
- Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models
- Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning
- Visual processing in context of reinforcement learning
- ESC-Rules: Explainable, Semantically Constrained Rule Sets
- Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
- Perspective-1-Ellipsoid: Formulation, Analysis and Solutions of the Camera Pose Estimation Problem from One Ellipse-Ellipsoid Correspondence
- Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training
- PRVR: Partially Relevant Video Retrieval
- EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
- AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
- Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear
All 138
- Nearest Neighbor Non-autoregressive Text Generation
- GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction
- Deformation equivariant cross-modality image synthesis with paired non-aligned training data
- GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks
- Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
- Laplacian Pyramid-like Autoencoder
- Dynamic Regret of Online Markov Decision Processes
- Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language
- Need for Design Patterns: Interoperability Issues and Modelling Challenges for Observational Data
- Learning From Positive and Unlabeled Data Using Observer-GAN
- An approach to implement Reinforcement Learning for Heterogeneous Vehicular Networks
- Towards Higher-order Topological Consistency for Unsupervised Network Alignment
- Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression
- AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL
- Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review
- Meta Objective Guided Disambiguation for Partial Label Learning
- Another Use of SMOTE for Interpretable Data Collaboration Analysis
- Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems
- CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
- Race and ethnicity data for first, middle, and last names
- Temporal Fuzzy Utility Maximization with Remaining Measure
- Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
- Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning
- Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
- Coefficient-based Regularized Distribution Regression
- Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity
- Arbitrary Shape Text Detection via Segmentation with Probability Maps
- MuLan: A Joint Embedding of Music Audio and Natural Language
- Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning
- Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer
- User-Controllable Latent Transformer for StyleGAN Image Layout Editing
- BITS: Bi-level Imitation for Traffic Simulation
- Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
- Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
- DiVa: An Accelerator for Differentially Private Machine Learning
- Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely Time-Decoupled Events
- Music Separation Enhancement with Generative Modeling
- Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts