Papers
Sun 16 Jul 2023
112 papers
- Recognition of Mental Adjectives in An Efficient and Automatic StyleLLM reasoning → Reasoning benchmarks and evaluation
- MasterKey: Automated Jailbreak Across Multiple Large Language Model ChatbotsLLM safety and security → Jailbreaking
- Cross-Lingual NER for Financial Transaction Data in Low-Resource LanguagesKnowledge distillation → Knowledge distillation for LLMs
- Solving Inverse Problems with Latent Diffusion Models via Hard Data ConsistencyDiffusion models → Inverse problems and image restoration
- Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regressionDiffusion models → Medical imaging and segmentation
- Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object DetectorDiffusion models → Robustness, privacy and adversarial aspects
- LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly DetectionDiffusion models → Flow matching, time series and science
- Noise-aware Speech Enhancement using Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
- MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-TuningLLM reasoning → Mathematical reasoning +1
- ChatDev: Communicative Agents for Software DevelopmentLLM agents and tool use → Software engineering coding agents
- Integer Factorisation, Fermat & Machine Learning on a Classical Computer
- DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning
- Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization
- CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
- Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
- Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
- SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
- RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
- A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
- Joint Microseismic Event Detection and Location with a Detection Transformer
- Untrained neural network embedded Fourier phase retrieval from few measurements
- Pairwise-Constrained Implicit Functions for 3D Human Heart Modelling
- Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents
- Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
- Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
- Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
- Boundary-weighted logit consistency improves calibration of segmentation networks
- Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
- Analyzing Dataset Annotation Quality Management in the Wild
- The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
- Self-Attention Based Generative Adversarial Networks For Unsupervised Video Summarization
- Neural Stream Functions
- POA: Passable Obstacles Aware Path-planning Algorithm for Navigation of a Two-wheeled Robot in Highly Cluttered Environments
- GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
- It's All Relative: Interpretable Models for Scoring Bias in Documents
- Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
- INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
- Tangent Transformers for Composition, Privacy and Removal
- Domain Generalisation with Bidirectional Encoder Representations from Vision Transformers
- Tangent Model Composition for Ensembling and Continual Fine-tuning
- Polarization Multi-Image Synthesis with Birefringent Metasurfaces
- Using Decision Trees for Interpretable Supervised Clustering
- FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
- CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
- EasyTPP: Towards Open Benchmarking Temporal Point Processes
- Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
- Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections
- Gait Data Augmentation using Physics-Based Biomechanical Simulation
- A Recursive Bateson-Inspired Model for the Generation of Semantic Formal Concepts from Spatial Sensory Data
- Dataset Distillation Meets Provable Subset Selection
- POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
- Flexible and efficient emulation of spatial extremes processes via variational autoencoders
- Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling
- Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
- Dense Multitask Learning to Reconfigure Comics
- Automatic Identification of Alzheimer's Disease using Lexical Features extracted from Language Samples
- MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment
- TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
- A Novel SLCA-UNet Architecture for Automatic MRI Brain Tumor Segmentation
- Beyond Classical Attention: Quantum Attention for Scalable Computation
- Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
- Planting a SEED of Vision in Large Language Model
- Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
- A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences
- Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
- Multi-Object Discovery by Low-Dimensional Object Motion
- Analysing Gender Bias in Text-to-Image Models using Object Detection
- Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
- Breaking Down the Task: A Unit-Grained Hybrid Training Framework for Vision and Language Decision Making
- Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer
- Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks
- Householder Projector for Unsupervised Latent Semantics Discovery
- For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder
- SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction
- LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
- MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime
- Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
- A Survey of Techniques for Optimizing Transformer Inference
- Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
- Integrating Human Parsing and Pose Network for Human Action Recognition
- HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds
- Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations
- Heteroscedastic Causal Structure Learning
- Dual-level Interaction for Domain Adaptive Semantic Segmentation
- Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach
- EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
- Automated Polynomial Filter Learning for Graph Neural Networks
- Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning
- Accelerating Distributed ML Training via Selective Synchronization
- Model Adaptation for ASR in low-resource Indian Languages
- Language Conditioned Traffic Generation
- Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
- Surface Geometry Processing: An Efficient Normal-based Detail Representation
- Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
- KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
- Optimal Compression of Unit Norm Vectors in the High Distortion Regime
- Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions
- CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion
- S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
All 112
- Contrastive Multi-Task Dense Prediction
- Holistic Prototype Attention Network for Few-Shot VOS
- A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
- GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
- DocTr: Document Transformer for Structured Information Extraction in Documents
- Reinforced Disentanglement for Face Swapping without Skip Connection
- Neural Architecture Retrieval
- On the Robustness of Split Learning against Adversarial Attacks
- Exploiting FPGA Capabilities for Accelerated Biomedical Computing
- Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations
- MESOB: Balancing Equilibria & Social Optimality
- Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training