Papers
Mon 27 Dec 2021
117 papers
- SPViT: Enabling Faster Vision Transformers via Soft Token PruningEfficient LLM inference and serving → Token pruning and merging for ViTs
- Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture
- An EEG-based approach for Parkinson's disease diagnosis using Capsule network
- MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules
- A Graph Attention Learning Approach to Antenna Tilt Optimization
- PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation
- Safe Reinforcement Learning with Chance-constrained Model Predictive Control
- SPIDER: Searching Personalized Neural Architecture for Federated Learning
- Multiagent Model-based Credit Assignment for Continuous Control
- AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
- RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes
- Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity
- Improving Depth Estimation using Location Information
- Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?
- Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization
- Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks
- Non-Reference Quality Monitoring of Digital Images using Gradient Statistics and Feedforward Neural Networks
- GPU-accelerated Faster Mean Shift with euclidean distance metrics
- Free-Viewpoint RGB-D Human Performance Capture and Rendering
- MedShift: identifying shift data for medical dataset curation
- A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
- Can Social Ontological Knowledge Representations be Measured Using Machine Learning?
- Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators
- Astronomical Image Colorization and upscaling with Generative Adversarial Networks
- Using maps to predict economic activity
- Algorithm for recognizing the contour of a honeycomb block
- Tracking Most Significant Arm Switches in Bandits
- Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
- What do Large Language Models Learn about Scripts?
- HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation
- Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
- Last-Iterate Convergence of Saddle-Point Optimizers via High-Resolution Differential Equations
- Intelligent Traffic Light via Policy-based Deep Reinforcement Learning
- Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
- Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
- Improving Deep Image Matting via Local Smoothness Assumption
- Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners
- "A Passage to India": Pre-trained Word Embeddings for Indian Languages
- Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment
- Contextual Sentence Analysis for the Sentiment Prediction on Financial Data
- Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data
- Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
- MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
- AU Dataset for Visuo-Haptic Object Recognition for Robots
- Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
- Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment
- Self-supervision of wearable sensors time-series data for influenza detection
- MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
- Differentially-Private Sublinear-Time Clustering
- MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction
- Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts
- Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
- Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
- A Multi-channel Training Method Boost the Performance
- Computationally Efficient Approximations for Matrix-based Renyi's Entropy
- SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
- Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training
- Visual Place Representation and Recognition from Depth Images
- Multi-Image Visual Question Answering
- Graph Collaborative Reasoning
- Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception
- Augmenting Convolutional networks with attention-based aggregation
- Self-normalized Classification of Parkinson's Disease DaTscan Images
- AdaptivePose: Human Parts as Adaptive Points
- A Survey on non-English Question Answering Dataset
- Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN
- Parameter Differentiation based Multilingual Neural Machine Translation
- CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark
- An Empirical Study of Adder Neural Networks for Object Detection
- Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels
- HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
- Depth estimation of endoscopy using sim-to-real transfer
- Multi-modal Attention Network for Stock Movements Prediction
- Multimodal Image Synthesis and Editing: The Generative AI Era
- Learn Layer-wise Connections in Graph Neural Networks
- Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
- Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
- A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials
- Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data
- Chinese Learners' Phonetic Transfer of /i/ from Mandarin Chinese to General American English: A Case Study of a Chinese Learner with Advanced English
- Hard Example Guided Hashing for Image Retrieval
- Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
- DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
- AGM Belief Revision, Semantically
- Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
- Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)
- Learning Robust and Lightweight Model through Separable Structured Transformations
- Responsive Listening Head Generation: A Benchmark Dataset and Baseline
- PRIME: A few primitives can boost robustness to common corruptions
- ViR:the Vision Reservoir
- FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions
- Sparsest Univariate Learning Models Under Lipschitz Constraint
- Image Edge Restoring Filter
- Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
- Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation
- Adversarial Attack for Asynchronous Event-based Data
- Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
- Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
- Interpreting Dynamical Systems as Bayesian Reasoners
- Dual Contrastive Learning for General Face Forgery Detection
All 117
- Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?
- Anomaly Detection using Capsule Networks for High-dimensional Datasets
- MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
- Event-based clinical findings extraction from radiology reports with pre-trained language model
- Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
- Automatic Configuration for Optimal Communication Scheduling in DNN Training
- Duck swarm algorithm: theory, numerical optimization, and applications
- Block Modeling-Guided Graph Convolutional Neural Networks
- Deep Treatment-Adaptive Network for Causal Inference
- Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network
- Vision Transformer for Small-Size Datasets
- A Compact Neural Network-based Algorithm for Robust Image Watermarking
- The Statistical Complexity of Interactive Decision Making
- Video Joint Modelling Based on Hierarchical Transformer for Co-summarization
- A Brief History of Updates of Answer-Set Programs
- Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch
- ToxTree: descriptor-based machine learning models for both hERG and Nav1.5 cardiotoxicity liability predictions