Papers
Wed 19 Apr 2023
188 papers
- Fundamental Limitations of Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Knowledge Distillation Under Ideal Joint Classifier AssumptionKnowledge distillation → General knowledge distillation methods
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous PracticingEnd-to-end autonomous driving → Reinforcement learning for driving
- Progressive-Hint Prompting Improves Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Disentangling Neuron Representations with Concept VectorsMechanistic interpretability → Circuits and mechanistic analysis
- CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted InterventionOffline RL and imitation learning from data → Safe offline RL
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsLLM agents and tool use → Web, search, and research agents
- Biologically inspired structure learning with reverse knowledge distillation for spiking neural networksKnowledge distillation → Distillation for spiking neural networks
- DiFaReli++: Diffusion Face Relighting with Consistent Cast ShadowsDiffusion models → 3D, point cloud and scene generation
- Latent Semantic Diffusion-based Channel Adaptive De-Noising SemCom for Future 6G SystemsDiffusion models → Diffusion for compression and wireless
- Designing a realistic peer-like embodied conversational agent for supporting children's storytellingLLM agents and tool use → Social simulation and multi-agent debate
- An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation ModelsKnowledge distillation → Knowledge distillation for LLMs
- Denoising Diffusion Medical ModelsDiffusion models → Medical imaging and segmentation
- MTrainS: Improving DLRM training efficiency using heterogeneous memories
- ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
- Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
- Un jeu a debattre pour sensibiliser a l'Intelligence Artificielle dans le contexte de la pandemie de COVID-19
- ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
- Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
- Scaling Transformer to 1M tokens and beyond with RMT
- A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale
- Affective social anthropomorphic intelligent system
- Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
- A note on the connectedness property of union-free generic sets of partial orders
- Conditional Generative Models for Learning Stochastic Processes
- Anything-3D: Towards Single-view Anything Reconstruction in the Wild
- Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation
- Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation
- Separability, Contextuality, and the Quantum Frame Problem
- Power Law Trends in Speedrunning and Machine Learning
- Weakly Supervised Detection of Baby Cry
- Model Based Reinforcement Learning for Personalized Heparin Dosing
- Data as Voters: Core Set Selection Using Approval-Based Multi-Winner Voting
- Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion
- Supporting Human-AI Collaboration in Auditing LLMs with LLMs
- CKmeans and FCKmeans : Two deterministic initialization procedures for Kmeans algorithm using a modified crowding distance
- Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra
- Radar de Parit'e: An NLP system to measure gender representation in French news stories
- Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
- Beyond Transformers for Function Learning
- Analyzing the Domain Shift Immunity of Deep Homography Estimation
- Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
- SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
- MasakhaNEWS: News Topic Classification for African languages
- Learning policies for resource allocation in business processes
- Adaptive Scheduling for Edge-Assisted DNN Serving
- A Latent Space Theory for Emergent Abilities in Large Language Models
- Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
- Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation
- Catch Me If You Can: Identifying Fraudulent Physician Reviews with Large Language Models Using Generative Pre-Trained Transformers
- A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints
- Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives
- Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
- The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
- DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification
- The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning
- MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
- Quantum Kernel Alignment with Stochastic Gradient Descent
- Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
- GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
- Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
- ChatGPT as a Therapist Assistant: A Suitability Study
- Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms
- A Theory on Adam Instability in Large-Scale Machine Learning
- Heterogeneous-Agent Reinforcement Learning
- Evolving Constrained Reinforcement Learning Policy
- Accelerate Support Vector Clustering via Spectrum-Preserving Data Compression
- Introducing Construct Theory as a Standard Methodology for Inclusive AI Models
- LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
- Transformer-Based Visual Segmentation: A Survey
- Bridging RL Theory and Practice with the Effective Horizon
- Evaluating Verifiability in Generative Search Engines
- Points of non-linearity of functions generated by random neural networks
- Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
- An XAI framework for robust and transparent data-driven wind turbine power curve models
- Learning and Adapting Agile Locomotion Skills by Transferring Experience
- VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene
- A Survey of Corpora for Germanic Low-Resource Languages and Dialects
- On the Perception of Difficulty: Differences between Humans and AI
- Generalization and Estimation Error Bounds for Model-based Neural Networks
- MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
- Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
- AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
- Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection
- Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory
- Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric
- Application of attention-based Siamese composite neural network in medical image recognition
- Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
- End-to-End Policy Gradient Method for POMDPs and Explainable Agents
- An End-to-End Vehicle Trajcetory Prediction Framework
- Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints
- Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
- Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
- Improved Active Fire Detection using Operational U-Nets
- Sample-efficient Model-based Reinforcement Learning for Quantum Control
- UniCal: a Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration and Validation
- Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
- Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
All 188
- CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection
- DarSwin: Distortion Aware Radial Swin Transformer
- Reference-guided Controllable Inpainting of Neural Radiance Fields
- CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
- Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
- GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
- Generative modeling of time-dependent densities via optimal transport and projection pursuit
- MPMQA: Multimodal Question Answering on Product Manuals
- Automatic Individual Identification of Patterned Solitary Species Based on Unlabeled Video Data
- Optimizations of Autoencoders for Analysis and Classification of Microscopic In Situ Hybridization Images
- ReelFramer: Human-AI Co-Creation for News-to-Video Translation
- BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
- Quantum deep Q learning with distributed prioritized experience replay
- The Transformation Logics
- Few-shot Medical Image Segmentation via Cross-Reference Transformer
- StyleDEM: a Versatile Model for Authoring Terrains
- CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation
- DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner
- Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish
- MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System
- CB-Conformer: Contextual biasing Conformer for biased word recognition
- DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
- AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
- DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation
- Is ChatGPT Equipped with Emotional Dialogue Capabilities?
- Leveraging the two timescale regime to demonstrate convergence of neural networks
- Approximate non-linear model predictive control with safety-augmented neural networks
- The State-of-the-Art in Air Pollution Monitoring and Forecasting Systems using IoT, Big Data, and Machine Learning
- An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap
- LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression
- On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
- Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
- SemEval 2023 Task 6: LegalEval - Understanding Legal Texts
- Graph Exploration for Effective Multi-agent Q-Learning
- Decadal Temperature Prediction via Chaotic Behavior Tracking
- Realistic Data Enrichment for Robust Image Segmentation in Histopathology
- SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning
- Single-View View Synthesis with Self-Rectified Pseudo-Stereo
- Controlling keywords and their positions in text generation
- Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
- NetGPT: Generative Pretrained Transformer for Network Traffic
- Community Detection Using Revised Medoid-Shift Based on KNN
- Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
- Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
- The Responsibility Problem in Neural Networks with Unordered Targets
- Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
- Emotion fusion for mental illness detection from social media: A survey
- Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients
- Security and Privacy Problems in Voice Assistant Applications: A Survey
- Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment
- Baybayin Character Instance Detection
- MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis
- HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks
- Network Pruning Spaces
- EC^2: Emergent Communication for Embodied Control
- Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
- Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
- Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators
- Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
- Martingale Posterior Neural Processes
- Boosting Semantic Segmentation with Semantic Boundaries
- Decoupled Training for Long-Tailed Classification With Stochastic Representations
- Loss Minimization Yields Multicalibration for Large Neural Networks
- ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
- TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
- On the Effectiveness of Image Manipulation Detection in the Age of Social Media
- Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
- How to Do Things with Deep Learning Code
- Wavelets Beat Monkeys at Adversarial Robustness
- MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
- Minimax Signal Detection in Sparse Additive Models
- H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
- Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition
- Information Geometrically Generalized Covariate Shift Adaptation
- SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation
- Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
- Shuffle & Divide: Contrastive Learning for Long Text
- Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
- 3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset
- ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
- Graph Neural Network-Based Anomaly Detection for River Network Systems
- Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles
- Long-Term Fairness with Unknown Dynamics
- Investigating the Nature of 3D Generalization in Deep Neural Networks
- To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
- Optimizing Carbon Storage Operations for Long-Term Safety
- Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
- LLM as A Robotic Brain: Unifying Egocentric Memory and Control