Papers
Sat 19 Mar 2022
91 papers
- Teachable Reinforcement Learning via Advice DistillationOffline RL and imitation learning from data → Imitation learning methods
- Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionLLM reasoning → Mathematical reasoning
- FaiRR: Faithful and Robust Deductive Reasoning over Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
- ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningLLM reasoning → Multimodal reasoning
- Emulating Quantum Dynamics with Neural Networks via Knowledge DistillationKnowledge distillation → Graph neural network distillation
- Radiology Text Analysis System (RadText): Architecture and Evaluation
- Machine Learning-based Anomaly Detection in Optical Fiber Monitoring
- Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory
- Convolutional Neural Networks for Reflective Event Detection and Characterization in Fiber Optical Links Given Noisy OTDR Signals
- Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques
- Decision-making of Emergent Incident based on P-MADDPG
- Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory
- PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
- A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction
- Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers
- The Deep Learning model of Higher-Lower-Order Cognition, Memory, and Affection- More General Than KAN
- Machine Learning based Laser Failure Mode Detection
- Machine Learning based Data Driven Diagnostic and Prognostic Approach for Laser Reliability Enhancement
- Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
- CNNs and Transformers Perceive Hybrid Images Similar to Humans
- Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
- Efficient Neural Network Analysis with Sum-of-Infeasibilities
- Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
- Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
- Language-Preserving Reduction Rules for Block-Structured Workflow Nets
- Anomaly Detection in Emails using Machine Learning and Header Information
- Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning
- PressureVision: Estimating Hand Pressure from a Single RGB Image
- Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems
- Lazy Rearrangement Planning in Confined Spaces
- On Robust Prefix-Tuning for Text Classification
- A naive method to discover directions in the StyleGAN2 latent space
- The Online Behaviour of the Algerian Abusers in Social Media Networks
- Deep Learning Generalization, Extrapolation, and Over-parameterization
- Domain Representative Keywords Selection: A Probabilistic Approach
- Towards Device Efficient Conditional Image Generation
- Multi-Domain Multi-Definition Landmark Localization for Small Datasets
- Meta-Learning for Online Update of Recommender Systems
- The Sandbox Environment for Generalizable Agent Research (SEGAR)
- CLRNet: Cross Layer Refinement Network for Lane Detection
- Font Generation with Missing Impression Labels
- Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
- No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
- Automatic Detection of Entity-Manipulated Text using Factual Knowledge
- Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
- Understanding COVID-19 News Coverage using Medical NLP
- TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
- Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
- Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
- Implicit Parameter-free Online Learning with Truncated Linear Models
- Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
- Sequence-to-Sequence Knowledge Graph Completion and Question Answering
- Practical Recommendations for Replay-based Continual Learning Methods
- Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
- Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds
- Modelling nonlinear dependencies in the latent space of inverse scattering
- PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
- When regression coefficients change over time: A proposal
- Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing
- Neural Machine Translation with Phrase-Level Universal Visual Representations
- Incremental Few-Shot Learning via Implanting and Compressing
- From meaning to perception -- exploring the space between word and odor perception embeddings
- Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
- Adversarial Defense via Image Denoising with Chaotic Encryption
- Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features
- Clickbait Spoiling via Question Answering and Passage Retrieval
- Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
- Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
- Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition
- Assessing Gender Bias in Predictive Algorithms using eXplainable AI
- DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting
- Perturbation Analysis of Randomized SVD and its Applications to Statistics
- Representation-Agnostic Shape Fields
- TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
- Dependency-based Mixture Language Models
- Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
- Similarity and Content-based Phonetic Self Attention for Speech Recognition
- Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation
- Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
- HIPA: Hierarchical Patch Transformer for Single Image Super Resolution
- DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
- DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
- Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
- Thompson Sampling on Asymmetric α-Stable Bandits
- Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data
- Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
- SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
- Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate
- Inferring topological transitions in pattern-forming processes with self-supervised learning
- Relationformer: A Unified Framework for Image-to-Graph Generation
- Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation