Papers
Mon 13 Dec 2021
180 papers
- GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsWorld models → World models for language agents +1
- Probability Density Estimation Based Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- A Study on Token Pruning for ColBERTEfficient LLM inference and serving → Visual token pruning in multimodal models
- Human-Level Control through Directly-Trained Deep Spiking Q-Networks
- Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
- English2Gbe: A multilingual machine translation model for {Fon/Ewe}Gbe
- Translating Human Mobility Forecasting through Natural Language Generation
- On the Compression of Natural Language Models
- A Grid-Structured Model of Tubular Reactors
- Multitask Network for Respiration Rate Estimation -- A Practical Perspective
- Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance
- AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems
- A Factorization Approach for Motor Imagery Classification
- Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
- AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
- ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
- The King is Naked: on the Notion of Robustness for Natural Language Processing
- Convergence proof for stochastic gradient descent in the training of deep neural networks with ReLU activation for constant target functions
- Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
- Machine Learning-based Prediction of Porosity for Concrete Containing Supplementary Cementitious Materials
- Continual Learning In Environments With Polynomial Mixing Times
- Large Language Models are not Models of Natural Language: they are Corpus Models
- Graph network for learning bi-directional physics
- Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic
- How to Learn when Data Gradually Reacts to Your Model
- Survey of Generative Methods for Social Media Analysis
- Framework para Caracterizar Fake News en Terminos de Emociones
- Teaching a Robot to Walk Using Reinforcement Learning
- Learning Body-Aware 3D Shape Generative Models
- Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators
- Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning
- PantheonRL: A MARL Library for Dynamic Training Interactions
- Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition
- Optimizing over an ensemble of neural networks
- Designing weighted and multiplex networks for deep learning user geolocation in Twitter
- ELF: Exact-Lipschitz Based Universal Density Approximator Flow
- Analyzing a Caching Model
- Event-guided Deblurring of Unknown Exposure Time Videos
- On The Reliability Of Machine Learning Applications In Manufacturing Environments
- The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
- Exploring Latent Dimensions of Crowd-sourced Creativity
- Controlled Cue Generation for Play Scripts
- Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not
- CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study
- Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
- DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points
- Hallucinating Pose-Compatible Scenes
- HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
- Interpretable Design of Reservoir Computing Networks using Realization Theory
- Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection
- A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform to Facilitate Healthcare AI Research
- Cognitive and Cultural Topology of Linguistic Categories:A Semantic-Pragmatic Metric Approach
- Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
- Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
- Frontiers in Collective Intelligence: A Workshop Report
- Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection
- The whole and the parts: the MDL principle and the a-contrario framework
- Information-Theoretic Limits of Quantum Learning via Data Compression
- Sparse Interventions in Language Models with Differentiable Masking
- BScNets: Block Simplicial Complex Neural Networks
- VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
- Multi-Asset Spot and Option Market Simulation
- Persistent Animal Identification Leveraging Non-Visual Markers
- Depth Uncertainty Networks for Active Learning
- Nonlinear pile-up separation with LSTM neural networks for cryogenic particle detectors
- GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network
- Explanation Container in Case-Based Biomedical Question-Answering
- Keyphrase Generation Beyond the Boundaries of Title and Abstract
- On the Value of ML Models
- hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
- A Homotopy Algorithm for Optimal Transport
- Robust factored principal component analysis for matrix-valued outlier accommodation and detection
- Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection
- FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
- Adaptation through prediction: multisensory active inference torque control
- Role of Human-AI Interaction in Selective Prediction
- Step-unrolled Denoising Autoencoders for Text Generation
- Khmer Text Classification Using Word Embedding and Neural Networks
- A Survey of Unsupervised Domain Adaptation for Visual Recognition
- Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding
- Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory
- Long-tail Recognition via Compositional Knowledge Transfer
- Roof-Transformer: Divided and Joined Understanding with Knowledge Enhancement
- Unsupervised machine learning approaches to the q-state Potts model
- Measuring Context-Word Biases in Lexical Semantic Datasets
- VirtualCube: An Immersive 3D Video Communication System
- Safe Linear Leveling Bandits
- ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts
- Understanding and Improving the Exemplar-based Generation for Open-domain Conversation
- PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition
- Learning Semantic-Aligned Feature Representation for Text-based Person Search
- A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning
- N-SfC: Robust and Fast Shape Estimation from Caustic Images
- Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
- Optimal Rate Adaption in Federated Learning with Compressed Communications
- Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
- Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
- Tree-Based Dynamic Classifier Chains
- Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
- Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks
All 180
- Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
- Fast Single-Core K-Nearest Neighbor Graph Computation
- Quantum Stream Learning
- Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization
- Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network
- Detecting Emotion Carriers by Combining Acoustic and Lexical Representations
- WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models
- SAC-GAN: Structure-Aware Image Composition
- Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
- CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
- An Introduction to Quantum Computing for Statisticians and Data Scientists
- Active learning with MaskAL reduces annotation effort for training Mask R-CNN
- Geometric Path Enumeration for Equivalence Verification of Neural Networks
- How to Find a Good Explanation for Clustering?
- Solving the non-preemptive two queue polling model with generally distributed service and switch-over durations and Poisson arrivals as a Semi-Markov Decision Process
- Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling
- Triangle Attack: A Query-efficient Decision-based Adversarial Attack
- Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
- On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
- HiClass: a Python library for local hierarchical classification compatible with scikit-learn
- MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
- Orthogonal Group Synchronization with Incomplete Measurements: Error Bounds and Linear Convergence of the Generalized Power Method
- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI
- Efficient spatio-temporal weather forecasting using U-Net
- MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
- Hybrid Graph Neural Networks for Few-Shot Learning
- SphereSR: 360deg Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation
- Makeup216: Logo Recognition with Adversarial Attention Representations
- A Complete Characterisation of ReLU-Invariant Distributions
- Centroid-UNet: Detecting Centroids in Aerial Images
- Anatomizing Bias in Facial Analysis
- Top K Ranking for Multi-Armed Bandit with Noisy Evaluations
- Ex-Model: Continual Learning from a Stream of Trained Models
- Do Data-based Curricula Work?
- Automated Evidence Collection for Fake News Detection
- DGL-GAN: Discriminator Guided Learning for GAN Compression
- Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension
- Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing
- ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
- gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy
- An Informative Tracking Benchmark
- Predicting User Code-Switching Level from Sociological and Psychological Profiles
- Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
- Real Time Action Recognition from Video Footage
- Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
- Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance
- Contextual Exploration Using a Linear Approximation Method Based on Satisficing
- Semantically Contrastive Learning for Low-light Image Enhancement
- Plurality and Quantification in Graph Representation of Meaning
- SVIP: Sequence VerIfication for Procedures in Videos
- What can Data-Centric AI Learn from Data and ML Engineering?
- Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
- Generate Point Clouds with Multiscale Details from Graph-Represented Structures
- GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs
- Predicting Airbnb Rental Prices Using Multiple Feature Modalities
- Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations
- A Benchmark for Low-Switching-Cost Reinforcement Learning
- Stochastic differential equations for limiting description of UCB rule for Gaussian multi-armed bandits
- Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations
- LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
- A Survey of Toxic Comment Classification Methods
- How Good are Low-Rank Approximations in Gaussian Process Regression?
- Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
- Hybrid Atlas Building with Deep Registration Priors
- CSI Feedback with Model-Driven Deep Learning of Massive MIMO Systems
- Deep Attentional Guided Image Filtering
- Shaping Visual Representations with Attributes for Few-Shot Recognition
- N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks
- The Overlooked Classifier in Human-Object Interaction Recognition
- PartGlot: Learning Shape Part Segmentation from Language Reference Games
- Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
- Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
- WOOD: Wasserstein-based Out-of-Distribution Detection
- Robust Voting Rules from Algorithmic Robust Statistics
- 5th Place Solution for VSPW 2021 Challenge
- Surfer100: Generating Surveys From Web Resources, Wikipedia-style
- Embracing Single Stride 3D Object Detector with Sparse Transformer
- Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
- Risk and optimal policies in bandit experiments
- Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards