Papers
Sun 10 Apr 2022
83 papers
- Robust Cross-Modal Representation Learning with Progressive Self-DistillationKnowledge distillation → Multimodal distillation
- Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question AnsweringRetrieval-augmented generation → Generation and context integration
- Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells
- Deflectometry for specular surfaces: an overview
- A Novel Region Duplication Detection Algorithm Based on Hybrid Approach
- BABD: A Bitcoin Address Behavior Dataset for Pattern Analysis
- DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
- Multi-Label Clinical Time-Series Generation via Conditional GAN
- SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
- Edge Continual Learning for Dynamic Digital Twins over Wireless Networks
- Fake news detection using parallel BERT deep neural networks
- Representation Learning by Detecting Incorrect Location Embeddings
- Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning
- Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
- A Fully Polynomial Time Approximation Scheme for Constrained MDPs and Stochastic Shortest Path under Local Transitions
- MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction
- Measuring the False Sense of Security
- Multimodal Machine Learning in Precision Health
- Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts
- Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations
- Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks
- Configuration and Collection Factors for Side-Channel Disassembly
- Information-theoretic Online Memory Selection for Continual Learning
- Rockafellian Relaxation and Stochastic Optimization under Perturbations
- Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
- Breaking Character: Are Subwords Good Enough for MRLs After All?
- CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
- Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments
- A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
- Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective
- Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
- Rethinking Exponential Averaging of the Fisher
- TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning
- Image Harmonization by Matching Regional References
- Data Augmentation for Biomedical Factoid Question Answering
- Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
- SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
- An Efficient Pattern Mining Convolution Neural Network (CNN) algorithm with Grey Wolf Optimization (GWO)
- Coreset of Hyperspectral Images on Small Quantum Computer
- MA-Dreamer: Coordination and communication through shared imagination
- DISK: Domain-constrained Instance Sketch for Math Word Problem Generation
- Adaptive Channel Allocation for Robust Differentiable Architecture Search
- Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog
- Scale Invariant Semantic Segmentation with RGB-D Fusion
- FedCorr: Multi-Stage Federated Learning for Label Noise Correction
- Simple Baselines for Image Restoration
- Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates
- Active Learning with Label Comparisons
- NAN: Noise-Aware NeRFs for Burst-Denoising
- Linear Complexity Randomized Self-attention Mechanism
- Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss
- Optimization of IoT-Enabled Physical Location Monitoring Using DT and VAR
- FOSTER: Feature Boosting and Compression for Class-Incremental Learning
- Expressiveness and Approximation Properties of Graph Neural Networks
- Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
- Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
- Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
- Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches
- Gaussian Processes for Missing Value Imputation
- Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
- From graphs to DAGs: a low-complexity model and a scalable algorithm
- Spectral Unmixing of Hyperspectral Images Based on Block Sparse Structure
- UniDU: Towards A Unified Generative Dialogue Understanding Framework
- "That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
- ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles
- Intersection Prediction from Single 360deg Image via Deep Detection of Possible Direction of Travel
- Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features
- Stripformer: Strip Transformer for Fast Image Deblurring
- Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clustering
- On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series
- A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns
- ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
- Learning Pixel-Level Distinctions for Video Highlight Detection
- Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
- Decay No More: A Persistent Twitter Dataset for Learning Social Meaning
- Self-Supervised Video Representation Learning with Motion-Contrastive Perception
- Towards efficient representation identification in supervised learning
- Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
- Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
- Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
- Real order total variation with applications to the loss functions in learning schemes
- Re-Examining Human Annotations for Interpretable NLP
- Efficient Reconstruction of Stochastic Pedigrees: Some Steps From Theory to Practice