Papers
Sat 29 Oct 2022
86 papers
- Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL ParsersSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Application of Knowledge Distillation to Multi-task Speech Representation LearningKnowledge distillation → Speech and audio distillation
- Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification AlgorithmsEnd-to-end autonomous driving → Reinforcement learning for driving
- DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Leveraging Orbital Information and Atomic Feature in Deep Learning Model
- Rare Wildlife Recognition with Self-Supervised Representation Learning
- Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models
- A Two Step Approach to Weighted Bipartite Link Recommendations
- CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
- Mixed Reality Interface for Digital Twin of Plant Factory
- Causal DAG extraction from a library of books or videos/movies
- Data-driven low-dimensional dynamic model of Kolmogorov flow
- Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation
- Single-Shot Domain Adaptation via Target-Aware Generative Augmentation
- Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
- Monitoring the Dynamic Networks of Stock Returns
- Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking
- A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging
- BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model
- Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models
- Perturbation Analysis of Neural Collapse
- Improved Support Recovery in Universal One-bit Compressed Sensing
- Auxo: Efficient Federated Learning via Scalable Client Clustering
- Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
- Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
- Unsupervised Audio-Visual Lecture Segmentation
- XNOR-FORMER: Learning Accurate Approximations in Long Speech Transformers
- Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition
- 2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study
- Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
- TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer
- LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning
- Empirical Evaluation of Post-Training Quantization Methods for Language Tasks
- Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples
- A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing
- Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution
- DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
- Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
- Strong Lottery Ticket Hypothesis with varepsilon--perturbation
- Relating Human Perception of Musicality to Prediction in a Predictive Coding Model
- NTULM: Enriching Social Media Text Representations with Non-Textual Units
- Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
- INR-V: A Continuous Representation Space for Video-based Generative Tasks
- Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
- SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features
- Ice Core Dating using Probabilistic Programming
- iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection
- Few-shot Image Generation via Adaptation-Aware Kernel Modulation
- Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation
- MinUn: Accurate ML Inference on Microcontrollers
- End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator
- Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedback
- Entity-centered Cross-document Relation Extraction
- Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
- Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili
- Differentiable Data Augmentation for Contrastive Sentence Representation Learning
- Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
- BIMRL: Brain Inspired Meta Reinforcement Learning
- Spectral Representation Learning for Conditional Moment Models
- Federated clustering with GAN-based data synthesis
- Fast-Convergent Federated Learning via Cyclic Aggregation
- Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
- Clenshaw Graph Neural Networks
- Observable Perfect Equilibrium
- A pruning method based on the dissimilarity of angle among channels and filters
- The solution set of fuzzy relation equations with addition-min composition
- Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images
- Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering
- Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
- Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo
- STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification
- Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
- IM: An R-Package for Computation of Image Moments and Moment Invariants
- A Systematic Survey of Chemical Pre-trained Models
- Recursive Reasoning in Minimax Games: A Level k Gradient Play Method
- Accelerating RNN-T Training and Inference Using CTC guidance
- GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network
- Pair DETR: Contrastive Learning Speeds Up DETR Training
- Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
- Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
- ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data
- Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation
- Reformulating van Rijsbergen's Fβ metric for weighted binary cross-entropy
- Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
- Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery
- Robust Boosting Forests with Richer Deep Feature Hierarchy