Papers
Sat 8 Apr 2023
97 papers
- Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataKnowledge distillation → Detection and dense prediction distillation
- FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device PlacementMixture-of-experts → Expert routing strategies
- DiffDock-PP: Rigid Protein-Protein Docking with Diffusion ModelsDiffusion models → Flow matching, time series and science
- Machine Learning-based Methods for Joint {Detection-Channel Estimation} in OFDM Systems
- Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network
- MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning
- Connecting Fairness in Machine Learning with Public Health Equity
- SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement
- Training Neural Networks for Execution on Approximate Hardware
- Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
- Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts
- Marginal Thresholding in Noisy Image Segmentation
- MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
- TC-VAE: Uncovering Out-of-Distribution Data Generative Factors
- Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
- A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry
- Best Arm Identification with Fairness Constraints on Subpopulations
- Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning
- Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
- Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
- Word-level Persian Lipreading Dataset
- Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
- Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach
- Counterfactual Explanations of Neural Network-Generated Response Curves
- Predicting multiple sclerosis disease severity with multimodal deep neural networks
- Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
- Universal Semi-Supervised Learning for Medical Image Classification
- Learning Energy-Based Representations of Quantum Many-Body States
- tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning
- Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder
- Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
- Deep Generative Modeling with Backward Stochastic Differential Equations
- Polygonizer: An auto-regressive building delineator
- Statistical and computational rates in high rank tensor estimation
- Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
- RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults
- EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
- POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
- Exploring the Connection between Robust and Generative Models
- Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for NLP
- NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
- WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition
- Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning
- A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
- Region-Aware Portrait Retouching with Sparse Interactive Guidance
- Arithmetic Intensity Balancing Convolution for Hardware-aware Efficient Block Design
- Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion
- Non-asymptotic approximations of Gaussian neural networks via second-order Poincar'e inequalities
- Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions
- A new transformation for embedded convolutional neural network approach toward real-time servo motor overload fault-detection
- SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
- Analysis of Sampling Strategies for Implicit 3D Reconstruction
- Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
- A Unified Characterization of Private Learnability via Graph Theory
- Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization
- RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
- Block-regularized 5×2 Cross-validated McNemar's Test for Comparing Two Classification Algorithms
- SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers
- DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
- DiscoVars: A New Data Analysis Perspective -- Application in Variable Selection for Clustering
- Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification
- EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
- RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
- Pump It Up: Predict Water Pump Status using Attentive Tabular Learning
- Benchmarking the Robustness of Quantized Models
- StillFast: An End-to-End Approach for Short-Term Object Interaction Anticipation
- KeyDetect --Detection of anomalies and user based on Keystroke Dynamics
- Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack
- MphayaNER: Named Entity Recognition for Tshivenda
- GANHead: Towards Generative Animatable Neural Head Avatars
- Capturing dynamical correlations using implicit neural representations
- Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing
- Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
- Unsupervised Speech Representation Pooling Using Vector Quantization
- Comparing Code Explanations Created by Students and Large Language Models
- Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
- Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
- Efficient Multimodal Sampling via Tempered Distribution Flow
- 3D GANs and Latent Space: A comprehensive survey
- Exploring Data Geometry for Continual Learning
- Photometric Correction for Infrared Sensors
- Interpretable machine learning-accelerated seed treatment by nanomaterials for environmental stress alleviation
- MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for Vision
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
- Co-attention Propagation Network for Zero-Shot Video Object Segmentation
- Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
- Instructor-inspired Machine Learning for Robust Molecular Property Prediction
- High-Fidelity Clothed Avatar Reconstruction from a Single Image
- An Empirical Study and Improvement for Speech Emotion Recognition
- The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning
- Factify 2: A Multimodal Fake News and Satire News Dataset
- MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction
- A multifidelity approach to continual learning for physical systems
- Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
- GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
- OFTER: An Online Pipeline for Time Series Forecasting
- LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes