question stringclasses 1
value | subject stringclasses 1
value | choices listlengths 4 4 | answer class label 4
classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"MoGA-A",
"Pythia",
"FuseFormer Block",
"PReLU-Net"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ProphetNet",
"BigBird",
"Composite Backbone Network",
"Cross-encoder Reranking"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Temporal Graph Network",
"Average Pooling",
"Network Embedding as Matrix Factorization:",
"Local Augmentation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Conditional Position Encoding Vision Transformer",
"YOLOP",
"End-to-End Neural Diarization",
"SENet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CharacterBERT",
"SongNet",
"PointASNL",
"MT-PET"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Retrace",
"ConViT",
"Vision Transformer",
"High-resolution input"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Reformer",
"Stacked Hourglass Network",
"Laplacian Pyramid Network",
"PReLU-Net"
] | 0A |
Predict which model least fits with the others | model_modality | [
"LeNet",
"High-resolution input",
"Rainbow DQN",
"PointQuad-Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"FuseFormer",
"Linformer",
"MacBERT",
"CodeGen"
] | 0A |
Predict which model least fits with the others | model_modality | [
"PermuteFormer",
"Pointwise Convolution",
"CT3D",
"FeatureNMS"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Denoising Autoencoder",
"Expected Sarsa",
"Soft Actor-Critic (Autotuned Temperature)",
"Replacing Eligibility Trace"
] | 0A |
Predict which model least fits with the others | model_modality | [
"XCiT Layer",
"OODformer",
"Phase Gradient Heap Integration",
"VGG"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Fast Focal Detection Network",
"MixNet",
"Laplacian Pyramid Network",
"ooJpiued"
] | 3D |
Predict which model least fits with the others | model_modality | [
"AltCLIP",
"node2vec",
"(2+1)D Convolution",
"Group Decreasing Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"AlexNet",
"MobileDet",
"Curvature Regularized Variational Auto-Encoder",
"DiffPool"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Ape-X DPG",
"CheXNet",
"Beta-VAE",
"SENet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"LAPGAN",
"Convolutional LSTM based Residual Network",
"Continuous Bag-of-Words Word2Vec",
"Tokens-To-Token Vision Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CoordConv",
"BoundaryNet",
"Extended Transformer Construction",
"TridentNet Block"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Multiscale Vision Transformer",
"Sparse Transformer",
"FairMOT",
"CR-NET"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Feature Pyramid Grid",
"ACTKR",
"Inception-ResNet-v2-A",
"Feature Fusion Module v1"
] | 1B |
Predict which model least fits with the others | model_modality | [
"N-step Returns",
"Deep Residual Pansharpening Neural Network",
"ClipBERT",
"GreedyNAS-C"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Class-MLP",
"UNet Transformer",
"LocalViT",
"VoiceFilter-Lite"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Fastformer",
"Local Augmentation",
"mBERT",
"Extended Transformer Construction"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Deep Residual Pansharpening Neural Network",
"Inverse Q-Learning",
"UNet++",
"SPP-Net"
] | 1B |
Predict which model least fits with the others | model_modality | [
"SimCSE",
"context2vec",
"TResNet",
"BLOOM"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Spatial Transformer",
"Skim and Intensive Reading Model",
"CharacterBERT",
"Linformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"MatrixNet",
"Clipped Double Q-learning",
"REINFORCE",
"Q-Learning"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Mirror Descent Policy Optimization",
"FBNet",
"CrossTransformers",
"OASIS"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Laplacian Positional Encodings",
"Dual Graph Convolutional Networks",
"Knowledge Graph Refiner",
"PoolFormer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"OFA",
"CrossViT",
"ResNet-RS",
"AutoTinyBERT"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Mixup",
"Trust Region Policy Optimization",
"CAMoE",
"LR-Net"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Heterogeneous Molecular Graph Neural Network",
"Network Embedding as Matrix Factorization:",
"Mixture model network",
"KNN and IOU based verification"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Cascade R-CNN",
"Neural network for graphs",
"Spatial Attention Module (ThunderNet)",
"EfficientUNet++"
] | 1B |
Predict which model least fits with the others | model_modality | [
"NoisyNet-Dueling",
"Graph Convolutional Network",
"Double Q-learning",
"Bayesian Reward Extrapolation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Stochastic Dueling Network",
"Genetic Algorithms",
"Bayesian Reward Extrapolation",
"Funnel Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"HiFi-GAN",
"MelGAN",
"MaxUp",
"WaveGrad"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Ape-X",
"Progressively Growing GAN",
"Lower Bound on Transmission using Non-Linear Bounding Function in Single Image Dehazing",
"PocketNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Graph Attention Network v2",
"Contextual Graph Markov Model",
"CornerNet",
"Schrödinger Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CP with N3 Regularizer and Relation Prediction",
"Dilated convolution with learnable spacings",
"LV-ViT",
"RepVGG"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Random Horizontal Flip",
"Audiovisual SlowFast Network",
"Monte-Carlo Tree Search",
"Focal Transformers"
] | 2C |
Predict which model least fits with the others | model_modality | [
"High-Order Consensuses",
"Large-scale Information Network Embedding",
"Self-critical Sequence Training",
"CLIPort"
] | 1B |
Predict which model least fits with the others | model_modality | [
"EmbraceNet: A robust deep learning architecture for multimodal classification",
"SentencePiece",
"Depthwise Fire Module",
"Conditional Relation Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ALBERT",
"GLM",
"E-Branchformer",
"Attention Model"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Paddle Anchor Free Network",
"Soft Actor-Critic (Autotuned Temperature)",
"YOLOv3",
"Switchable Atrous Convolution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"GloVe Embeddings",
"FBNet",
"Parallel Layers",
"TaxoExpan"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Attentive Walk-Aggregating Graph Neural Network",
"Short-Term Dense Concatenate",
"Fast-OCR",
"Florence"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BERT",
"Disp R-CNN",
"GreedyNAS-C",
"Wavelet-integrated Identity Preserving Adversarial Network for face super-resolution"
] | 0A |
Predict which model least fits with the others | model_modality | [
"HaloNet",
"Diffusion-Convolutional Neural Networks",
"Spatial Attention Module (ThunderNet)",
"Wizard: Unsupervised goats tracking algorithm"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Attention Model",
"Ape-X",
"Fisher-BRC",
"GPT-Neo"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Modulated Residual Network",
"Inception v2",
"Spectrally Normalised GAN",
"Sliding Window Attention"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Self-Attention Network",
"Focal Transformers",
"FBNet",
"Graph Echo State Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Diffusion-Convolutional Neural Networks",
"DeepDrug",
"Message Passing Neural Network",
"DU-GAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"Harmonic Block",
"RoI Tanh-polar Transform",
"CayleyNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"1-Dimensional Convolutional Neural Networks",
"3-dimensional interaction space",
"FCPose",
"Contrastive BERT"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Random Gaussian Blur",
"ECA-Net",
"DiffPool",
"Residual Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Quantum Process Tomography",
"FastGCN",
"Graph Isomorphism Network",
"Modularity preserving NMF"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Inception-v4",
"LR-Net",
"XGrad-CAM",
"Reformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Ape-X",
"A2C",
"Image Scale Augmentation",
"High-Order Consensuses"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ESPNet",
"Gated Attention Networks",
"Spatial Feature Transform",
"CornerNet-Squeeze"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Stein Variational Policy Gradient",
"Fisher-BRC",
"Prescribed Generative Adversarial Network",
"ACTKR"
] | 2C |
Predict which model least fits with the others | model_modality | [
"InterBERT",
"Balanced Feature Pyramid",
"Xception",
"Augmented SBERT"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Track objects as points",
"3D ResNet-RS",
"MixNet",
"SpecGAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"nnFormer",
"Wizard: Unsupervised goats tracking algorithm",
"SC-GPT",
"Fractal Block"
] | 2C |
Predict which model least fits with the others | model_modality | [
"BLOOMZ",
"CSPResNeXt",
"Poly-CAM",
"Circular Smooth Label"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Surface Nomral-based Spatial Propagation",
"UNet++",
"Regularized Autoencoders",
"OPT-IML"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Self-Attention GAN",
"Parsing Incrementally for Constrained Auto-Regressive Decoding",
"Models Genesis",
"SimpleNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Noisy Linear Layer",
"Co-Scale Conv-attentional Image Transformer",
"DenseNAS-A",
"StyleGAN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Adaptive Feature Pooling",
"Trust Region Policy Optimization",
"Spectrally Normalised GAN",
"SOHO"
] | 1B |
Predict which model least fits with the others | model_modality | [
"FFB6D",
"RoBERTa",
"VirTex",
"DenseNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"U-Net",
"Informative Sample Mining Network",
"FLAVA",
"GPT-NeoX"
] | 3D |
Predict which model least fits with the others | model_modality | [
"PrivacyNet",
"lda2vec",
"Temporally Consistent Spatial Augmentation",
"DAMO-YOLO"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RAG",
"Strip Pooling",
"Denoising Score Matching",
"DAFNe"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Receptive Field Block",
"Gated Transformer-XL",
"LSGAN",
"FixRes"
] | 1B |
Predict which model least fits with the others | model_modality | [
"GraphSAGE",
"Matrix Non-Maximum Suppression",
"Temporal Graph Network",
"Hierarchical Entity Graph Convolutional Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"mT0",
"LR-Net",
"PLATO-2",
"SongNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Seq2Edits",
"ConvBERT",
"Adaptive Input Representations",
"CornerNet-Squeeze Hourglass Module"
] | 3D |
Predict which model least fits with the others | model_modality | [
"DiCE Unit",
"ShapeConv",
"Iterative Inpainting",
"Universal Language Model Fine-tuning"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Fast-YOLOv4-SmallObj",
"Parallel Feature Pyramid Network",
"Hierarchical Entity Graph Convolutional Network",
"Meta Face Recognition"
] | 2C |
Predict which model least fits with the others | model_modality | [
"FRILL",
"EdgeFlow",
"Generic RoI Extractor",
"DeepMask"
] | 0A |
Predict which model least fits with the others | model_modality | [
"High-resolution input",
"CSPDenseNet-Elastic",
"Routing Attention",
"Local Relation Layer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Precise RoI Pooling",
"Heterogeneous Molecular Graph Neural Network",
"Feature-Centric Voting",
"Local Patch Interaction"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Temporal ROIAlign",
"Feature Fusion Module v1",
"XLM-R",
"Contextual Residual Aggregation"
] | 2C |
Predict which model least fits with the others | model_modality | [
"NesT",
"Residual gating mechanism to compose adverb-action representations",
"Subformer",
"Hierarchical Transferability Calibration Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"SCARLET",
"IoU-Net",
"Performer",
"AlterNet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"RoBERTa",
"CTAL",
"Tacotron2",
"Separate And Diffuse"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Pansharpening by convolutional neural networks in the full resolution framework",
"Beneš Block with Residual Switch Units",
"BigGAN",
"Scale-wise Feature Aggregation Module"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Relational Graph Convolution Network",
"ConvMLP",
"BiGG",
"Modularity preserving NMF"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Performer",
"ViP-DeepLab",
"XLM",
"Universal Language Model Fine-tuning"
] | 1B |
Predict which model least fits with the others | model_modality | [
"PolarMask",
"Unigram Segmentation",
"Poisson Flow Generative Models",
"MobileViT"
] | 1B |
Predict which model least fits with the others | model_modality | [
"XLSR",
"WaveGAN",
"Crystal Graph Neural Network",
"VoiceFilter-Lite"
] | 2C |
Predict which model least fits with the others | model_modality | [
"High-Order Consensuses",
"Extended Transformer Construction",
"Sliding Window Attention",
"SC-GPT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"RESCAL",
"Dimension-wise Fusion",
"Precise RoI Pooling",
"MUSIQ"
] | 0A |
Predict which model least fits with the others | model_modality | [
"PReLU-Net",
"MobileBERT",
"MPNet",
"Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Multi-band MelGAN",
"Griffin-Lim Algorithm",
"VoiceFilter-Lite",
"Multi-scale Progressive Fusion Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"GCNII",
"FRILL",
"WaveVAE",
"wav2vec Unsupervised"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Deep Layer Aggregation",
"Bilateral Grid",
"AlexNet",
"GradientDICE"
] | 3D |
Predict which model least fits with the others | model_modality | [
"GoogLeNet",
"Dilated Sliding Window Attention",
"ERNIE",
"LLaMA"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Graph Representation with Global structure",
"MoGA-A",
"Point-GNN",
"Deep Graph Convolutional Neural Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Attentional Liquid Warping GAN",
"Sparse Autoencoder",
"3-dimensional interaction space",
"Laplacian EigenMap"
] | 3D |
Predict which model least fits with the others | model_modality | [
"EdgeFlow",
"XCiT",
"VL-T5",
"Deterministic Policy Gradient"
] | 3D |
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