question stringclasses 1 value | subject stringclasses 1 value | choices sequencelengths 4 4 | answer class label 4 classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"Global Average Pooling",
"RESCAL with Relation Prediction",
"Dilated Convolution",
"Deep Belief Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Local Augmentation",
"Dilated Convolution",
"Gated Graph Sequence Neural Networks",
"Crystal Graph Neural Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CayleyNet",
"TResNet",
"ComplEx with N3 Regularizer and Relation Prediction Objective",
"Graph Network-based Simulators"
] | 1B |
Predict which model least fits with the others | model_modality | [
"VirTex",
"XCiT Layer",
"ClassSR",
"Gated Convolution Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"BERT",
"REINFORCE",
"context2vec",
"FastSGT"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Instances-Pixels Balance Index",
"LipGAN",
"Generic RoI Extractor",
"CodeGen"
] | 3D |
Predict which model least fits with the others | model_modality | [
"GPU-Efficient Network",
"Grab",
"Segmentation Transformer",
"Global and Sliding Window Attention"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Residual gating mechanism to compose adverb-action representations",
"Knowledge Enhanced Masked Language Model",
"CrossTransformers",
"PCA Whitening"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Implicit Q-Learning",
"Prioritized Experience Replay",
"Dueling Network",
"GreedyNAS-C"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method",
"Parallel Layers",
"IFNet",
"ViP-DeepLab"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Prioritized Experience Replay",
"NoisyNet-Dueling",
"Inverse Q-Learning",
"Balanced Feature Pyramid"
] | 3D |
Predict which model least fits with the others | model_modality | [
"3D ResNet-RS",
"Instruction Pointer Attention Graph Neural Network",
"Squeeze aggregated excitation network",
"PAFPN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"BS-Net",
"BLANC",
"DetNet",
"High-level backbone"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Synthesizer",
"Review-guided Answer Helpfulness Prediction",
"Graph Neural Networks with Continual Learning",
"SimCSE"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Subformer",
"GPT-2",
"SongNet",
"Compact Convolutional Transformers"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Asynchronous Proximal Policy Optimization",
"EmbraceNet: A robust deep learning architecture for multimodal classification",
"Wasserstein GAN",
"Spatially Separable Convolution"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Glow-TTS",
"Attribute2Font",
"Back to the Feature",
"Modular Interactive VOS"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Funnel Transformer",
"CutMix",
"Deep Orthogonal Fusion of Local and Global Features",
"FuseFormer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BigGAN-deep",
"Jukebox",
"EmbraceNet: A robust deep learning architecture for multimodal classification",
"HITNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"TridentNet Block",
"Focal Transformers",
"Deep Layer Aggregation",
"ComplEx with N3 Regularizer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"MnasNet",
"Primer",
"Libra R-CNN",
"Asynchronous Interaction Aggregation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Jukebox",
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"FRILL",
"WaveGrad DBlock"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Adaptive Feature Pooling",
"Video Panoptic Segmentation Network",
"Bi-Directional Graph Convolutional Network",
"Non Maximum Suppression"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Categorical Modularity",
"YOLOv3",
"LipGAN",
"Fast R-CNN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GPT-4",
"VQ-VAE-2",
"XGrad-CAM",
"Selective Kernel Convolution"
] | 0A |
Predict which model least fits with the others | model_modality | [
"SC-GPT",
"SpineNet",
"GloVe Embeddings",
"Primer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"BRepNet",
"VOS",
"Graph Convolutional Networks for Fake News Detection",
"Hierarchical Transferability Calibration Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"The Ikshana Hypothesis of Human Scene Understanding Mechanism",
"An Easier Data Augmentation",
"SC-GPT",
"GLM"
] | 0A |
Predict which model least fits with the others | model_modality | [
"StyleGAN",
"ClassSR",
"Relational Graph Convolution Network",
"EmbraceNet: A robust deep learning architecture for multimodal classification"
] | 2C |
Predict which model least fits with the others | model_modality | [
"TuckER",
"AmoebaNet",
"Message Passing Neural Network",
"Deep Graph Infomax"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Detection Transformer",
"Spatio-temporal stability analysis",
"Nonlinear Activation Free Network",
"PLATO-2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"EdgeBoxes",
"RegionViT",
"TResNet",
"Dilated Sliding Window Attention"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Longformer",
"Seq2Edits",
"CTRL",
"EmbraceNet: A robust deep learning architecture for multimodal classification"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Graph Finite-State Automaton",
"VoVNet",
"Twins-PCPVT",
"Generalized Mean Pooling"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Cutout",
"Iterative Inpainting",
"Nyströmformer",
"Fast Feedforward Networks"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ProxylessNet-CPU",
"Colorization Transformer",
"CubeRE",
"Invertible Rescaling Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Spatial Attention Module (ThunderNet)",
"ProxylessNet-Mobile",
"VirTex",
"Double Q-learning"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Spherical Graph Convolutional Network",
"ZCA Whitening",
"BiGG",
"Graph Echo State Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Deep Belief Network",
"FCPose",
"Prediction-aware One-To-One",
"Q-Learning"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Dilated Convolution",
"Message Passing Neural Network",
"Circular Dilated Convolutional Neural Networks",
"FairMOT"
] | 1B |
Predict which model least fits with the others | model_modality | [
"GCNII",
"Topographic VAE",
"Dynamic Keypoint Head",
"Kaleido-BERT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"DALL·E 2",
"Global Average Pooling",
"Nyströmformer",
"UNet Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"WenLan",
"Style Transfer Module",
"CARLA: An Open Urban Driving Simulator",
"EfficientDet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"RegNetY",
"Fast-OCR",
"Multi-partition Embedding Interaction",
"Audiovisual SlowFast Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"UCTransNet",
"Hue — Bi-Dimensional Empirical Mode Decomposition",
"SNIPER",
"SentencePiece"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Depthwise Dilated Separable Convolution",
"Baidu Dependency Parser",
"MuVER",
"TaxoExpan"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Packed Levitated Markers",
"DVD-GAN",
"Global Convolutional Network",
"U2-Net"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ALIGN",
"Augmented SBERT",
"CANINE",
"Feedback Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Inception-ResNet-v2 Reduction-B",
"High-Order Proximity preserved Embedding",
"PP-YOLO",
"ScaleNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CayleyNet",
"Local Relation Layer",
"ENet Initial Block",
"GreedyNAS-B"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Spherical Graph Convolutional Network",
"Deep Belief Network",
"Directed Acyclic Graph Neural Network",
"CP with N3 Regularizer and Relation Prediction"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Fragmentation",
"Transformer Decoder",
"Meena",
"CodeGen"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Double DQN",
"CARLA: An Open Urban Driving Simulator",
"Kalman Optimization for Value Approximation",
"PrivacyNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Feature-Aligned Person Search Network",
"Extended Transformer Construction",
"Deformable DETR",
"Stacked Denoising Autoencoder"
] | 1B |
Predict which model least fits with the others | model_modality | [
"E-Branchformer",
"MT-PET",
"DeepSIM",
"SC-GPT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Image Scale Augmentation",
"HS-ResNet",
"Distributed Distributional DDPG",
"Point Gathering Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Fire Module",
"Firefly algorithm",
"PnP",
"Harm-Net"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Segmentation Transformer",
"VOS",
"TuckER",
"Deep-MAC"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Parsing Incrementally for Constrained Auto-Regressive Decoding",
"Minibatch Discrimination",
"Inception-v4",
"Center Pooling"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Deformable Kernel",
"ClipBERT",
"Joint Learning Architecture",
"node2vec"
] | 3D |
Predict which model least fits with the others | model_modality | [
"N-step Returns",
"Fragmentation",
"Affordance Correspondence",
"Capsule Network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"DeepMind AlphaStar",
"CPM-2",
"Linformer",
"BinaryBERT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ASLFeat",
"Iterative Inpainting",
"Hierarchical Style Disentanglement",
"Bayesian Reward Extrapolation"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Transformer Decoder",
"SimpleNet",
"Pyramid Pooling Module",
"VisTR"
] | 0A |
Predict which model least fits with the others | model_modality | [
"LAPGAN",
"Graph Convolutional Network",
"Polynomial Convolution",
"LOGAN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CANINE",
"Focal Transformers",
"Meta Face Recognition",
"PointQuad-Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BigBird",
"Anycost GAN",
"Inception-B",
"Vision Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"DELG",
"Contextual Graph Markov Model",
"Fire Module",
"Temporal ROIAlign"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Skim and Intensive Reading Model",
"Hierarchical Feature Fusion",
"TernaryBERT",
"BTmPG"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CDCC-NET",
"Transformer",
"ELMo",
"Transformer in Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Inverse Q-Learning",
"Contextual Residual Aggregation",
"MLFPN",
"CARAFE"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GradientDICE",
"Deformable DETR",
"XCiT",
"BiFPN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"XLM",
"Hierarchical Style Disentanglement",
"R(2+1)D",
"Adaptive Early-Learning Correction"
] | 0A |
Predict which model least fits with the others | model_modality | [
"RevNet",
"Retrace",
"Feature Fusion Module v1",
"RealNVP"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Pixel Recurrent Neural Network",
"WaveGrad",
"DIoU-NMS",
"Mask R-CNN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Adaptive Input Representations",
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"CSPDenseNet-Elastic",
"Probabilistic Anchor Assignment"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BLANC",
"Low-resolution input",
"Xception",
"DenseNAS-C"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Graph Isomorphism Network",
"CenterMask",
"Aligning Latent and Image Spaces",
"3D Dynamic Scene Graph"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Synthetic Minority Over-sampling Technique.",
"REINFORCE",
"ACTKR",
"DeepMind AlphaStar"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BTmPG",
"Matrix Non-Maximum Suppression",
"EmbraceNet: A robust deep learning architecture for multimodal classification",
"CentripetalNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"VERtex Similarity Embeddings",
"Commute Times Layer",
"Mixture model network",
"ShuffleNet v2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Inception-v3 Module",
"Separate And Diffuse",
"Difference of Gaussian Random Forest",
"Adaptive NMS"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ALBERT",
"Neural Probabilistic Language Model",
"Categorical Modularity",
"U-Net Generative Adversarial Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Approximating Spatiotemporal Representations Using a 2DCNN",
"WideResNet",
"LAPGAN",
"Dialogue-Adaptive Pre-training Objective"
] | 3D |
Predict which model least fits with the others | model_modality | [
"ConvBERT",
"Enhanced Seq2Seq Autoencoder via Contrastive Learning",
"Augmented SBERT",
"FSAF"
] | 3D |
Predict which model least fits with the others | model_modality | [
"node2vec",
"Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning",
"Heterogeneous Molecular Graph Neural Network",
"Residual Multi-Layer Perceptrons"
] | 3D |
Predict which model least fits with the others | model_modality | [
"NAS-FPN",
"Random Gaussian Blur",
"VOS",
"WaveGrad UBlock"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Modularity preserving NMF",
"CodeGen",
"Charformer",
"LayoutLMv2"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Continuous Kernel Convolution",
"OPT",
"GPT-2",
"Lbl2Vec"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Nouveau VAE",
"Soft Nearest Neighbor Loss with Annealing Temperature",
"Neural Attention Fields",
"Attentive Walk-Aggregating Graph Neural Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"Contrastive BERT",
"DenseNAS-C",
"Groupwise Point Convolution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Transformer in Transformer",
"Skip-gram Word2Vec",
"Cross-resolution features",
"FastSGT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CS-GAN",
"ELECTRA",
"CubeRE",
"FastSGT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Root-of-Mean-Squared Pooling",
"AmoebaNet",
"Feature Intertwiner",
"GPT-4"
] | 3D |
Predict which model least fits with the others | model_modality | [
"BTmPG",
"RoIWarp",
"3D ResNet-RS",
"CoordConv"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Guided Anchoring",
"PAR Transformer",
"Flan-T5",
"fastText"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GPT-2",
"RepPoints",
"SegFormer",
"PREDATOR"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Generalized State-Dependent Exploration",
"Handwritten OCR augmentation",
"Track objects as points",
"CodeSLAM"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Inverse Q-Learning",
"V-trace",
"Scattering Transform",
"Prioritized Sweeping"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Attribute2Font",
"LLaMA",
"SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix",
"Submanifold Convolution"
] | 1B |
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