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ICML 과학 포스터 디자인 예시

ICML의 과학 포스터 디자인 사례 — 저자가 직접 만든 학회 포스터로 레이아웃, 그림 배치, 읽기 순서를 연구할 수 있습니다. Paper2Poster 데이터셋의 International Conference on Machine Learning(ICML) 포스터.

전체 학회NeurIPSICMLICLR

포스터 37개

Transformers, parallel computation, and logarithmic depth — ICML 2024 posterICML2024

Transformers, parallel computation, and logarithmic depth

ICML 2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles — ICML 2024 posterICML2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles

ICML 2024

Collective Certified Robustness against Graph Injection Attacks — ICML 2024 posterICML2024

Collective Certified Robustness against Graph Injection Attacks

ICML 2024

A Context-Integrated Transformer-Based Neural Network for Auction Design — ICML 2022 posterICML2022

A Context-Integrated Transformer-Based Neural Network for Auction Design

ICML 2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks — ICML 2022 posterICML2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks

ICML 2022

Learning to Reach Goals via Diffusion — ICML 2024 posterICML2024

Learning to Reach Goals via Diffusion

ICML 2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model — ICML 2024 posterICML2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model

ICML 2024

All in a Row: Compressed Convolution Networks for Graphs — ICML 2023 posterICML2023

All in a Row: Compressed Convolution Networks for Graphs

ICML 2023

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset — ICML 2024 posterICML2024

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

ICML 2024

A Robust Test for the Stationarity Assumption in Sequential Decision Making — ICML 2023 posterICML2023

A Robust Test for the Stationarity Assumption in Sequential Decision Making

ICML 2023

Parallel Sampling of Diffusion Models — ICML 2023 posterICML2023

Parallel Sampling of Diffusion Models

ICML 2023

Mechanistic Mode Connectivity — ICML 2023 posterICML2023

Mechanistic Mode Connectivity

ICML 2023

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network — ICML 2024 posterICML2024

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

ICML 2024

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning — ICML 2022 posterICML2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

ICML 2022

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation — ICML 2023 posterICML2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

ICML 2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum — ICML 2023 posterICML2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

ICML 2023

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval — ICML 2022 posterICML2022

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

ICML 2022

Agnostic Learnability of Halfspaces via Logistic Loss — ICML 2022 posterICML2022

Agnostic Learnability of Halfspaces via Logistic Loss

ICML 2022

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization — ICML 2023 posterICML2023

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization

ICML 2023

Equivariant Polynomials for Graph Neural Networks — ICML 2023 posterICML2023

Equivariant Polynomials for Graph Neural Networks

ICML 2023

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost — ICML 2024 posterICML2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost

ICML 2024

Unveiling Privacy, Memorization, and Input Curvature Links — ICML 2024 posterICML2024

Unveiling Privacy, Memorization, and Input Curvature Links

ICML 2024

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning — ICML 2023 posterICML2023

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning

ICML 2023

VectorMapNet: End-to-end Vectorized HD Map Learning — ICML 2023 posterICML2023

VectorMapNet: End-to-end Vectorized HD Map Learning

ICML 2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks — ICML 2023 posterICML2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks

ICML 2023

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? — ICML 2024 posterICML2024

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability?

ICML 2024

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker — ICML 2023 posterICML2023

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker

ICML 2023

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration — ICML 2024 posterICML2024

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration

ICML 2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling — ICML 2024 posterICML2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

ICML 2024

A Geometric Framework for Understanding Memorization in Generative Models — ICML 2024 posterICML2024

A Geometric Framework for Understanding Memorization in Generative Models

ICML 2024

Data-efficient Large Vision Models through Sequential Autoregression — ICML 2024 posterICML2024

Data-efficient Large Vision Models through Sequential Autoregression

ICML 2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning — ICML 2024 posterICML2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

ICML 2024

A Rate-Distortion View of Uncertainty Quantification — ICML 2024 posterICML2024

A Rate-Distortion View of Uncertainty Quantification

ICML 2024

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms — ICML 2023 posterICML2023

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms

ICML 2023

Scaling Spherical CNNs — ICML 2023 posterICML2023

Scaling Spherical CNNs

ICML 2023

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching — ICML 2024 posterICML2024

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching

ICML 2024

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection — ICML 2023 posterICML2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection

ICML 2023