应用 · chemistry physics and earth sciences论文趋势 2023–2026
应用方向:chemistry_physics_and_earth_sciences
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 3,316 篇被归入该主题的论文。
主要结论
- 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇,三年间扩大到约 4.2 倍。
- NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议,2023–2026 年共 1,107 篇,占四个会议总量的 33%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
- 在「应用领域」的 10 个主题里,它的 2026 年论文数排第 2;同组增长最快的应用 · health medicine是 61 倍,应用 · chemistry physics and earth sciences是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
- CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
- NeurIPS 2025A Partition Cover Approach to Tokenization
- ICML 2025A Machine Learning Approach to Duality in Statistical Physics
- ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
- NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Foundation Model for Error Correction Codes
- CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
- NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Human Pose Estimation via Intuitive Physics
- NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
- ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
- ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
- CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation
全部应用 · chemistry physics and earth sciences论文
共 680 篇,第 13 / 14 页
- NeurIPS 2024Proving Theorems Recursively
- NeurIPS 2024PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
- NeurIPS 2024Quadratic Quantum Variational Monte Carlo
- NeurIPS 2024Quantum Deep Equilibrium Models
- NeurIPS 2024QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
- NeurIPS 2024RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
- NeurIPS 2024Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
- NeurIPS 2024Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
- NeurIPS 2024Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
- NeurIPS 2024Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
- NeurIPS 2024Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
- NeurIPS 2024Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
- NeurIPS 2024Reward Machines for Deep RL in Noisy and Uncertain Environments
- NeurIPS 2024Road Network Representation Learning with the Third Law of Geography
- NeurIPS 2024Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
- NeurIPS 2024Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
- NeurIPS 2024Robust Neural Contextual Bandit against Adversarial Corruptions
- NeurIPS 2024RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
- NeurIPS 2024RoPINN: Region Optimized Physics-Informed Neural Networks
- NeurIPS 2024Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
- NeurIPS 2024SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
- NeurIPS 2024Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
- NeurIPS 2024Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
- NeurIPS 2024Score-based generative models are provably robust: an uncertainty quantification perspective
- NeurIPS 2024SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
- NeurIPS 2024Semantic Routing via Autoregressive Modeling
- NeurIPS 2024SfPUEL: Shape from Polarization under Unknown Environment Light
- NeurIPS 2024Shape analysis for time series
- NeurIPS 2024Simplifying Constraint Inference with Inverse Reinforcement Learning
- NeurIPS 2024SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
- NeurIPS 2024SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
- NeurIPS 2024Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
- NeurIPS 2024SparseLLM: Towards Global Pruning of Pre-trained Language Models
- NeurIPS 2024SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
- NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
- NeurIPS 2024Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
- NeurIPS 2024Structural Inference of Dynamical Systems with Conjoined State Space Models
- NeurIPS 2024Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
- NeurIPS 2024Symbolic Regression with a Learned Concept Library
- NeurIPS 2024Symmetry-Informed Governing Equation Discovery
- NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
- NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
- NeurIPS 2024Task-Agnostic Machine-Learning-Assisted Inference
- NeurIPS 2024Temporal Sentence Grounding with Relevance Feedback in Videos
- NeurIPS 2024Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
- NeurIPS 2024The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
- NeurIPS 2024The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
- NeurIPS 2024The Intelligible and Effective Graph Neural Additive Network
- NeurIPS 2024The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
- NeurIPS 2024The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks
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常见问题
- 2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文?
- 共 3,316 篇,按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。
- NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文?
- NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文,上一届是 455 篇。
- ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文?
- ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文,上一届是 297 篇。
- ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文?
- ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文,上一届是 287 篇。
- CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文?
- CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文,上一届是 87 篇。
- 哪个会议的应用 · chemistry physics and earth sciences论文最多?
- NeurIPS,2023–2026 年共 1,107 篇。