Papers
Sun 30 Apr 2023
79 papers
- Beyond Classification: Financial Reasoning in State-of-the-Art Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Class-Balancing Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Reconstructing seen images from human brain activity via guided stochastic searchDiffusion models → Medical imaging and segmentation
- Sparsifying Spiking Networks through Local Rhythms
- Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces
- Self-information Domain-based Neural CSI Compression with Feature Coupling
- Working Memory Capacity of ChatGPT: An Empirical Study
- Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records
- Defining Replicability of Prediction Rules
- NewsPanda: Media Monitoring for Timely Conservation Action
- Detecting Novelties with Empty Classes
- Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System
- Controlling Structured Output Representations from Attributes using Conditional Generative Models
- Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
- StyleGenes: Discrete and Efficient Latent Distributions for GANs
- Incremental procedural and sensorimotor learning in cognitive humanoid robots
- Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
- The MCC approaches the geometric mean of precision and recall as true negatives approach infinity
- Reliable Gradient-free and Likelihood-free Prompt Tuning
- How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
- Multimodal Graph Transformer for Multimodal Question Answering
- Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning
- Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL
- Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
- Automated reasoning support for Standpoint-OWL 2
- Collective Relational Inference for learning heterogeneous interactions
- MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation
- Deep Learning-based Spatio Temporal Facial Feature Visual Speech Recognition
- SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
- Calibration Error Estimation Using Fuzzy Binning
- SRL-Assisted AFM: Generating Planar Unstructured Quadrilateral Meshes with Supervised and Reinforcement Learning-Assisted Advancing Front Method
- Interpretability of Machine Learning: Recent Advances and Future Prospects
- Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search
- ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
- How to enumerate trees from a context-free grammar
- StyleLipSync: Style-based Personalized Lip-sync Video Generation
- The ART of Transfer Learning: An Adaptive and Robust Pipeline
- Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
- Towards AI-Architecture Liberty: A Comprehensive Survey on Design and Generation of Virtual Architecture by Deep Learning
- Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
- Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global Attention
- Domain Agnostic Fourier Neural Operators
- Posterior Sampling for Deep Reinforcement Learning
- Time series clustering based on prediction accuracy of global forecasting models
- Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness
- New bootstrap tests for categorical time series. A comparative study
- Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian
- Causalainer: Causal Explainer for Automatic Video Summarization
- Few-shot Classification via Ensemble Learning with Multi-Order Statistics
- SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
- Predictability of Machine Learning Algorithms and Related Feature Extraction Techniques
- Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale
- Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
- META-SMGO-Delta: similarity as a prior in black-box optimization
- Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
- EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
- Synthetic Data-based Detection of Zebras in Drone Imagery
- Transfer of knowledge among instruments in automatic music transcription
- Using Large Language Models to Generate JUnit Tests: An Empirical Study
- Transformer-based Sequence Labeling for Audio Classification based on MFCCs
- A Simulation-Augmented Benchmarking Framework for Automatic RSO Streak Detection in Single-Frame Space Images
- Optimized Machine Learning for CHD Detection using 3D CNN-based Segmentation, Transfer Learning and Adagrad Optimization
- Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy
- Optimal tests following sequential experiments
- Sliced Wasserstein Estimation with Control Variates
- SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
- TransCAR: Transformer-based Camera-And-Radar Fusion for 3D Object Detection
- DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
- Importance Weighted Expectation-Maximization for Protein Sequence Design
- Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
- Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
- DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
- Image Completion via Dual-path Cooperative Filtering
- Neural Radiance Fields (NeRFs): A Review and Some Recent Developments
- Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
- S2abEL: A Dataset for Entity Linking from Scientific Tables
- A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings
- Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach
- Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition