Papers
Sat 14 Oct 2023
106 papers
- Autonomous Tree-search Ability of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Large Language Model UnlearningLLM safety and security → Machine unlearning
- Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent SpaceDiffusion models → Flow matching, time series and science +1
- Adaptive Online Replanning with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion ModelDiffusion models → Medical imaging and segmentation
- ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language ModelsLLM safety and security → Prompt injection and agent security
- STORM: Efficient Stochastic Transformer based World Models for Reinforcement LearningWorld models → Latent dynamics models and model-based RL
- Self-Detoxifying Language Models via Toxification ReversalLLM safety and security → Safety alignment, refusal and guardrails
- CarExpert: Leveraging Large Language Models for In-Car Conversational Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward ModelLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Unified High-binding Watermark for Unconditional Image Generation ModelsLLM safety and security → Watermarking generated content and models
- Towards More Accurate Diffusion Model Acceleration with A Timestep TunerDiffusion models → Diffusion foundations and sampling
- PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score DistillationDiffusion models → 3D, point cloud and scene generation
- LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning AgentsLLM reasoning → Reasoning for agents, planning and code +2
- Neuronal Auditory Machine Intelligence (NEURO-AMI) In Perspective
- Chatbot-supported Thesis Writing: An Autoethnographic Report
- Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs
- A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization
- A study of the impact of generative AI-based data augmentation on software metadata classification
- Software Metadata Classification based on Generative Artificial Intelligence
- Metacognitive threshold: a computational account
- Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy
- Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction
- A decoder-only foundation model for time-series forecasting
- PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
- Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring
- What Do Deep Saliency Models Learn about Visual Attention?
- Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
- Efficient Model-Agnostic Multi-Group Equivariant Networks
- Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
- Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
- Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
- A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization
- Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model
- A Generalized Extensive-Form Fictitious Play Algorithm
- Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
- SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
- Lexical Entrainment for Conversational Systems
- Multimodal Federated Learning in Healthcare: a Review
- Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video
- DPZero: Private Fine-Tuning of Language Models without Backpropagation
- Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling
- An End-to-End System for Reproducibility Assessment of Source Code Repositories via Their Readmes
- Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming
- Time-based Mapping of Space Using Visual Motion Invariants
- Landslide Topology Uncovers Failure Movements
- Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood
- Federated Battery Diagnosis and Prognosis
- Detecting Moving Objects Using a Novel Optical-Flow-Based Range-Independent Invariant
- A Digital Language Coherence Marker for Monitoring Dementia
- Machine Learning for Urban Air Quality Analytics: A Survey
- An Expression Tree Decoding Strategy for Mathematical Equation Generation
- Moral consensus and divergence in partisan language use
- Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
- Towards Intelligent Network Management: Leveraging AI for Network Service Detection
- Penetrative AI: Making LLMs Comprehend the Physical World
- Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
- B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
- Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning
- Adaptive maximization of social welfare
- RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification
- Context-aware Session-based Recommendation with Graph Neural Networks
- Solving Math Word Problems with Reexamination
- Causality and Independence Enhancement for Biased Node Classification
- Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
- Reduced Policy Optimization for Continuous Control with Hard Constraints
- Learning Unified Representations for Multi-Resolution Face Recognition
- Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
- Graph Neural Network approaches for single-cell data: A recent overview
- You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment
- Neural network scoring for efficient computing
- ARTree: A Deep Autoregressive Model for Phylogenetic Inference
- Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE
- Scene Text Recognition Models Explainability Using Local Features
- A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning
- Benchmarking the Sim-to-Real Gap in Cloth Manipulation
- Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context
- Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
- TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
- Instruction Tuning with Human Curriculum
- OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images
- Efficient Link Prediction via GNN Layers Induced by Negative Sampling
- Attentive Multi-Layer Perceptron for Non-autoregressive Generation
- Online Parameter Identification of Generalized Non-cooperative Game
- Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
- Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
- Advancing Test-Time Adaptation in Wild Acoustic Test Settings
- JM3D & JM3D-LLM: Elevating 3D Understanding with Joint Multi-modal Cues
- DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
- One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
- A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
- Learning In-between Imagery Dynamics via Physical Latent Spaces
- Computational analyses of linguistic features with schizophrenic and autistic traits along with formal thought disorders
- Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
- ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
- Mirage: Model-Agnostic Graph Distillation for Graph Classification
- Applying Bayesian Ridge Regression AI Modeling in Virus Severity Prediction
- Fast-DiM: Towards Fast Diffusion Morphs
- MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
- Can CNNs Accurately Classify Human Emotions? A Deep-Learning Facial Expression Recognition Study
All 106
- Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
- Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
- HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
- A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
- MAC: ModAlity Calibration for Object Detection
- UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN