Papers
Fri 1 Sep 2023
144 papers
- No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy FunctionLLM reasoning → Mathematical reasoning
- Efficient RLHF: Reducing the Memory Usage of PPOLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- PathLDM: Text conditioned Latent Diffusion Model for HistopathologyDiffusion models → Medical imaging and segmentation
- Reinforcement Learning with Human Feedback for Realistic Traffic SimulationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Zero-Shot Video Moment Retrieval from Frozen Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Iterative Multi-granular Image Editing using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video GenerationDiffusion models → Video generation
- Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectivesMixture-of-experts → Multimodal MoE models
- Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolutionDiffusion models → Inverse problems and image restoration
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Diffusion Model with Clustering-based Conditioning for Food Image GenerationDiffusion models → Image generation, text-to-image and editing
- Amortizing Pragmatic Program Synthesis with Rankings
- Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approach
- Sherlock Holmes Doesn't Play Dice: The mathematics of uncertain reasoning when something may happen, that one is not even able to figure out
- Solving multiscale elliptic problems by sparse radial basis function neural networks
- Establishing Markov Equivalence in Cyclic Directed Graphs
- Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module
- Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence
- Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
- Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
- Prediction Error Estimation in Random Forests
- TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models
- Tempestas ex machina: A review of machine learning methods for wavefront control
- Deep learning in medical image registration: introduction and survey
- Contextual Biasing of Named-Entities with Large Language Models
- Learning Shared Safety Constraints from Multi-task Demonstrations
- Indexing Irises by Intrinsic Dimension
- Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks
- AAN: Attributes-Aware Network for Temporal Action Detection
- Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning
- Randomized Polar Codes for Anytime Distributed Machine Learning
- Taken out of context: On measuring situational awareness in LLMs
- Fused Classification For Differential Face Morphing Detection
- ICDARTS: Improving the Stability and Performance of Cyclic DARTS
- Polynomial-Model-Based Optimization for Blackbox Objectives
- Local and adaptive mirror descents in extensive-form games
- RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion
- OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
- Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
- Bayesian deep learning for cosmic volumes with modified gravity
- CityDreamer: Compositional Generative Model of Unbounded 3D Cities
- Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
- Time Series Analysis of Urban Liveability
- Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms
- Discrete Morphological Neural Networks
- PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer
- Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion
- Geometry-Informed Neural Operator for Large-Scale 3D PDEs
- Consistency of Lloyd's Algorithm Under Perturbations
- Mechanism of feature learning in convolutional neural networks
- Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer's Disease
- Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
- Concentrated Differential Privacy for Bandits
- Impact of Image Context for Single Deep Learning Face Morphing Attack Detection
- Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
- Adaptive function approximation based on the Discrete Cosine Transform (DCT)
- Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
- SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
- Robust Online Learning over Networks
- A Machine Vision Method for Correction of Eccentric Error: Based on Adaptive Enhancement Algorithm
- Geometry and Local Recovery of Global Minima of Two-layer Neural Networks at Overparameterization
- Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems
- Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography
- How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?
- Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction
- Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network
- Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information
- General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo
- An Improved Encoder-Decoder Framework for Food Energy Estimation
- A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
- New metrics for analyzing continual learners
- dacl10k: Benchmark for Semantic Bridge Damage Segmentation
- Unsupervised bias discovery in medical image segmentation
- Improving the matching of deformable objects by learning to detect keypoints
- A Locality-based Neural Solver for Optical Motion Capture
- Learning Speech Representation From Contrastive Token-Acoustic Pretraining
- Declarative Reasoning on Explanations Using Constraint Logic Programming
- Area-norm COBRA on Conditional Survival Prediction
- Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
- Selective Scene Text Removal
- Fine-grained Recognition with Learnable Semantic Data Augmentation
- Satisfiability Checking of Multi-Variable TPTL with Unilateral Intervals Is PSPACE-Complete
- Dense Voxel 3D Reconstruction Using a Monocular Event Camera
- BatchPrompt: Accomplish more with less
- Anomaly detection with semi-supervised classification based on risk estimators
- Long-Term Ad Memorability: Understanding & Generating Memorable Ads
- Scenario-based model predictive control of water reservoir systems
- On the Localization of Ultrasound Image Slices within Point Distribution Models
- When Do Discourse Markers Affect Computational Sentence Understanding?
- Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
- FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
- Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
- Discrete Versus Continuous Algorithms in Dynamics of Affective Decision Making
- Explainable Active Learning for Preference Elicitation
- How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
- Bespoke Nanoparticle Synthesis and Chemical Knowledge Discovery Via Autonomous Experimentations
- MuraNet: Multi-task Floor Plan Recognition with Relation Attention
All 144
- Towards Contrastive Learning in Music Video Domain
- Robust Point Cloud Processing through Positional Embedding
- Human trajectory prediction using LSTM with Attention mechanism
- Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients
- Mi-Go: Test Framework which uses YouTube as Data Source for Evaluating Speech Recognition Models like OpenAI's Whisper
- Multi-fidelity reduced-order surrogate modeling
- A Text-based Approach For Link Prediction on Wikipedia Articles
- ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction
- Insights Into the Nutritional Prevention of Macular Degeneration based on a Comparative Topic Modeling Approach
- Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture
- On the Aggregation of Rules for Knowledge Graph Completion
- Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
- Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
- Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
- End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing
- Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training
- SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
- Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review
- Leveraging Learning Metrics for Improved Federated Learning
- SortedNet: A Scalable and Generalized Framework for Training Modular Deep Neural Networks
- Why do universal adversarial attacks work on large language models?: Geometry might be the answer
- Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
- Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
- City electric power consumption forecasting based on big data & neural network under smart grid background
- NeuroSurgeon: A Toolkit for Subnetwork Analysis
- FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking
- ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models
- Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
- Image Hijacks: Adversarial Images can Control Generative Models at Runtime
- Object-Centric Multiple Object Tracking
- JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
- What Makes Good Open-Vocabulary Detector: A Disassembling Perspective
- The FruitShell French synthesis system at the Blizzard 2023 Challenge
- Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation
- Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding
- Large Language Models for Semantic Monitoring of Corporate Disclosures: A Case Study on Korea's Top 50 KOSPI Companies
- Gap and Overlap Detection in Automated Fiber Placement
- Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
- Subjectivity in Unsupervised Machine Learning Model Selection
- Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches
- DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
- Vision-aided nonlinear control framework for shake table tests
- Exploring the law of text geographic information
- Will sentiment analysis need subculture? A new data augmentation approach